Abstract

Provided in the embodiments of the present application are a material counting method, a material positioning method, and an apparatus. A sample image comprises a plurality of materials and the areas where the materials are located are labeled, and the size of an area can reflect the size of a material to a certain extent. Therefore, size features are added in a training process, enabling a target material detection model to be compatible with materials of different sizes. Moreover, since the labeled areas do not overlap each other, the target material detection model can learn how to distinguish materials and gaps between the materials in the training process. Therefore, in an obtained confidence map, the materials have a higher level of confidence, while the gaps between the materials have a lower level of confidence, and thus each connected component formed by pixel points with pixel values greater than a confidence threshold value in the confidence map can be regarded as the area where one material is located, that is, the number of connected components is the number of materials. Therefore, the possibility of mistakenly recognizing a plurality of materials as one material can be effectively reduced, and thus the accuracy of counting is further improved.

IPC Classes  ?

• G06M 11/00 - Counting of objects distributed at random, e.g. on a surface

Abstract

The present application relates to the technical field of video decoding. Provided in the embodiments of the present application are a video image decoding method and coding method, an apparatus, and a storage medium, which help to improving the image quality. The method comprises: acquiring channel-level complexity levels from a data stream, the data stream being a coding data stream of a current block; according to at least two channel-level complexity levels, determining the block-level complexity level of the current block, the channel-level complexity levels being used for representing the complexity degree of the channel-level texture of the current block; according to a code control parameter, determining a target bit number of the current block, the code control parameter comprising the block-level complexity level of the current block; on the basis of the target bit number, determining a quantization parameter of the current block; and on the basis of the quantization parameter, decoding the current block.

IPC Classes  ?

• H04N 19/14 - Coding unit complexity, e.g. amount of activity or edge presence estimation
• H04N 19/126 - Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

The present application discloses an explosion-proof camera. The explosion-proof camera comprises a first housing and a second housing; a first flameproof cavity and a second flameproof cavity are respectively formed in the two housings; in a first direction, a first flameproof through hole and a second flameproof through hole are respectively formed in two ends of the first housing, wherein a transmission shaft is mounted in the first flameproof through hole; first connecting shafts respectively extend at two ends of the second housing; the pair of first connecting shafts of the second housing are rotatably mounted on the first housing by means of a pair of mounting lugs of the first housing; then, on one hand, a first motor inside the first housing can drive the second housing to rotate by means of the transmission shaft and an external transmission assembly; and on the other hand, a cable extending out of a main control module inside the first housing sequentially passes through the second flameproof through hole and a first connecting shaft on the same side and thus is connected to a lens module inside the second housing. Compared with arranging all components of an explosion-proof camera in flameproof cavities, the volume of the flameproof cavities is reduced, thereby satisfying the lightweight requirement.

IPC Classes  ?

• H04N 23/51 - Housings
• H04N 23/55 - Optical parts specially adapted for electronic image sensorsMounting thereof
• H04N 23/60 - Control of cameras or camera modules

Abstract

A systematic security protection method for a multimodal AI model is provided. The method comprises: in a security detection stage of the target multimodal AI model, according to a perceptual distance between detection data and original data determined by a trained distance-aware judgment model, obtaining detection data whose perceptual distance from the original data meets a requirement, and detecting the target multimodal AI model by using the detection data; in a case that the detection result in the detection stage is that the target multimodal AI model has a security problem, on one hand, performing security coding protection and tokenization filtering on the input of the model, on the other hand, performing multi-dimensional omnidirectional evaluation on the multimodal AI model.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules

Abstract

Embodiments of the present application relates to the technical field of video decoding, and provide a video en/decoding method and apparatus and a storage medium, which are beneficial to improving the en/decoding efficiency. The method comprises: acquiring complexity information of a current block in an image to be processed, wherein the complexity information of the current block is obtained by calculating at least one angular gradient of the current block according to at least pixel values of the current block; determining quantization parameters of the current block according to the complexity information of the current block; en/decoding the current block on the basis of the quantization parameters.

IPC Classes  ?

• H04N 19/14 - Coding unit complexity, e.g. amount of activity or edge presence estimation
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/184 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream

Abstract

A microscope (100), comprising a base (10), an optical module (20), and a locking mechanism (30). The base (10) is provided with a stage (11) for placing an object under test. The optical module (20) comprises a body (21) and an optical lens (22) mounted on the body (21), and the body (21) is rotatably mounted on the base (10) by means of a rotating shaft (23). The body (21) is pushed and pulled to swing between a first observation position and a second observation position around the rotating shaft (23) relative to the base (10), so as to drive the optical lens (22) to swing from facing one tested surface of the object under test to another tested surface relative to the object under test. The locking mechanism (30) is mounted on the base (10) and is used for unlocking the rotating shaft (23) from the base (10) or locking the rotating shaft (23) on the base (10) when the body (21) is in the first observation position and the second observation position, and is used for enabling the rotating shaft (23) to remain unlocked from the base (10) when the body (21) is on a swing path between the first observation position and the second observation position.

IPC Classes  ?

• G02B 21/24 - Base structure

Abstract

The present application discloses image coding and decoding methods and apparatuses, and a storage medium, relates to the field of image coding and decoding technologies, and helps to improve coding and decoding efficiency. An image decoding method includes: parsing a code stream to obtain a first syntax element, where the first syntax element includes an index of a target prediction mode of a to-be-decoded unit; determining the target prediction mode from an index table based on the index of the target prediction mode, where the index table includes correspondences between indexes of multiple prediction modes and the multiple prediction modes; reconstructing the to-be-decoded unit based on at least the target prediction mode to obtain a reconstructed block.

IPC Classes  ?

• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

A transmitted illumination system and a microscope. The microscope is provided with an objective lens (600) or a plurality of objective lenses (600) of different magnifications. The transmitted illumination system comprises a light source (100), a light condensing module (200), and a diffuser (300), the light condensing module (200) being arranged downstream of the light path of the light source (100) and configured to converge the light emitted by the light source (100), and the diffuser (300) being arranged downstream of the light condensing module (200) and configured to diffuse the light emitted by the light condensing module (200), wherein different diffusers (300) are selected at the downstream of the light condensing module (200) corresponding to the objective lenses (600) of different magnifications; or the diffuser (300) is a diffuser (300) having a preset scattering range, and the objective lenses (600) of different magnifications share the diffuser (300).

IPC Classes  ?

• G02B 21/06 - Means for illuminating specimen
• G02B 21/08 - Condensers

Abstract

A microscope and an adjustment method therefor. The microscope comprises a support base (100), objective lenses (210), a magnification changer (220), and an adjustment mechanism (300). The objective lenses (210) are arranged on the support base (100). The magnification changer (220) is movably connected to the support base (100) by means of the adjustment mechanism (300). The adjustment mechanism (300) comprises a first adjustment assembly (310) and a second adjustment assembly (320) connected to each other. The second adjustment assembly (320) is connected to the magnification changer (220). The first adjustment assembly (310) adjusts the second adjustment assembly (320) to drive the magnification changer (220) to move in an X direction and rotate around a first axis (α), and the second adjustment assembly (320) adjusts the magnification changer (220) to move in a Y direction and rotate around a second axis (β), so that the optical axis of the magnification changer (220) is collinear with the optical axis of an objective lens (210). The X direction and the Y direction separately intersect the optical axis of the objective lens (210), the first axis (α) intersects the second axis (β), and the first axis (α) and the second axis (β) separately intersect the optical axis of the objective lens (210).

IPC Classes  ?

• G02B 21/24 - Base structure
• G02B 21/26 - StagesAdjusting means therefor
• G02B 7/00 - Mountings, adjusting means, or light-tight connections, for optical elements

Abstract

The present application relates to an image acquisition apparatus for extended-depth-of-field imaging and an extended-depth-of-field imaging apparatus. On the basis of the present application, at least two depth image sequences having different imaging photosensitive conditions can be provided for extended-depth-of-field imaging. For the situation in which the structural feature of a target object easily causes a local light reception abnormality, since the position and degree of the local light reception abnormality vary under different imaging photosensitive conditions, local image defects existing in the at least two depth image sequences having different imaging photosensitive conditions are not entirely identical. Thus, an extended-depth-of-field image is generated on the basis of the at least two depth image sequences having different imaging photosensitive conditions.

IPC Classes  ?

• H04N 23/957 - Light-field or plenoptic cameras or camera modules
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/74 - Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
• H04N 25/705 - Pixels for depth measurement, e.g. RGBZ
• H04N 25/706 - Pixels for exposure or ambient light measuring

Abstract

A flow cell for a liquid chromatography and an assembly method for the flow cell. A flow cell main body (10) comprises a hard main body component (11) and a light-reflecting flow tube (15) arranged in the hard main body component (11), end surface recesses (12) on the two side end surfaces of the hard main body component (11) being provided with flow guide channels (13), and end openings of the light-reflecting flow tube (15) being communicated with the flow guide channels (13). An optical fiber main body (31) and a liquid flow guide tube (50) are in a concentrated connection to the light-reflecting flow tube (15) in the end surface recesses (12) of the hard main body component (11) by means of hard flanges (32). Both a light-transmittable sealed blockage for the end openings of the light-reflecting flow tube (15) and a leakage-proof butt joint seal for the liquid flow guide tube (50) and the light-reflecting flow tube (15) can be realized by means of the hard flanges (32), such that the number of sealing members can be reduced. In addition, using the hard flanges (32) to block the end openings of the light-reflecting flow tube (15) can achieve a better pressure-resistant sealing capability than glass sheets.

IPC Classes  ?

• G01N 30/02 - Column chromatography
• G01N 30/74 - Optical detectors
• G01N 21/03 - Cuvette constructions

Abstract

The present application relates to the technical field of microscopes. Provided in the embodiments are a microscope system and a microscope. The microscope system comprises: a host control subsystem and a microscope; an objective lens switching module switches objective lenses; an objective lens identification module identifies the installation condition of an objective lens on the objective lens switching module and, when an objective lens has been installed, sends a signal indicating "has been installed"; a display control module displays the magnification of the installed objective lens; an auxiliary image acquisition module acquires the relative distance between the objective lens and a sample under test; when the relative position does not meet a preset distance condition, a Z-axis module adjusts a Z axis of motion until the relative distance meets the preset distance condition; an image acquisition module acquires a plurality of depth images; an image processing module performs image analysis and fusion processing to obtain a two-dimensional image or three-dimensional model carrying depth information; the display control module displays a target image. The embodiments of the present application reduce the adverse effects of the shallow depth of field of traditional optical microscope groups on imaging quality.

IPC Classes  ?

• G02B 21/32 - Micromanipulators structurally combined with microscopes
• G02B 21/24 - Base structure
• G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes

Abstract

An objective lens detection device (10), comprising a fixing base (11), an objective lens turntable (12), a driving member (13), a first detection device (14) and a control assembly (16). The objective lens turntable (12) is rotatably connected to the fixing base (11), and N mounting positions are provided on a surface of the objective lens turntable (12), the N mounting positions being circumferentially spaced on the surface of the objective lens turntable (12), and each mounting position being used for mounting an objective lens (30), where N is a positive integer and is greater than or equal to 2. The driving member (13) is drivingly connected to the objective lens turntable (12). The first detection device (14) is arranged on the side surface of the fixing base (11) corresponding to one mounting position with the detection direction facing the mounting position, and is used for detecting the presence or absence of an objective lens in the mounting position and/or the attribute information of the objective lens. The control assembly (16) is electrically connected to both the driving member (13) and the first detection device (14) to control the operation of the driving member (13) and the first detection device (14). Further provided are an objective lens detection method and a microscope.

IPC Classes  ?

• G01M 11/02 - Testing optical properties
• G02B 21/02 - Objectives

Goods & Services

(1) Data processing apparatus; cameras; network cameras; video recorders; monitors; network servers; radar apparatus; batteries, electric; sensors; network communication equipment; alarms; Central Processing Unit (CPU) for information, data, sounds and images processing; scanners for data processing; interactive touchscreen terminals; wireless communication devices for voice, data or image transmission; recorded computer operating software; computer software, recorded; computer software applications, downloadable; computer software for intelligent search; computer software platforms (recorded) for intelligent search; facial recognition software; datasets, recorded or downloadable; computer programs, recorded; downloadable computer software for data collection, analysis, and curation in the field of deep learning; computer programs for editing images, sound and video (1) Providing search engines for the internet; providing search engines for video recorders and cameras; maintenance and installation of computer software for intelligent search; software as a service [SaaS]; software engineering services; technological research; research in the field of artificial intelligence technology; development of computer platforms; computer software design; providing virtual computer systems through cloud computing; electronic data storage; updating of computer software; computer programming services for data processing; installation of computer software; design and writing of computer software; platform as a service [PaaS]; computer software consultancy; software development in the framework of software publishing; maintenance of computer software; technical support services for computer software; creating and designing website-based indexes of information for others [information technology services]

Goods & Services

(1) Data processing apparatus; cameras; network cameras; video recorders; monitors; network servers; radar apparatus; batteries, electric; sensors; network communication equipment; alarms; Central Processing Unit (CPU) for information, data, sounds and images processing; scanners for data processing; interactive touchscreen terminals; Wireless communication devices for voice, data or image transmission; recorded computer operating software; computer software, recorded; computer software applications, downloadable; computer software for intelligent search; Computer software platforms (recorded) for intelligent search; facial recognition software; datasets, recorded or downloadable; computer programs, recorded; Downloadable computer software for data collection, analysis, and curation in the field of deep learning; Computer programs for editing images, sound and video (1) Providing search engines for the internet; providing search engines for video recorders and cameras; maintenance and installation of computer software for intelligent search; software as a service [SaaS]; software engineering services; technological research; research in the field of artificial intelligence technology; development of computer platforms; computer software design; providing virtual computer systems through cloud computing; electronic data storage; updating of computer software; computer programming services for data processing; installation of computer software; design and writing of computer software; platform as a service [PaaS]; computer software consultancy; software development in the framework of software publishing; maintenance of computer software; technical support services for computer software; creating and designing website-based indexes of information for others [information technology services]

Abstract

An accessory for a rotary switching valve, a manufacturing method, and a rotary switching valve. The accessory (1, 2) for a rotary switching valve is attached to a corresponding mating member in the rotary switching valve, and can relatively and rotatably mate with the mating member by means of taking the normal line of an attachment surface of the two as a rotation axis, so as to realize turning on and off of the rotary switching valve. The accessory comprises an accessory body (10) and a coating (20), the accessory body being provided with a mating surface (102); and the coating is at least arranged on the mating surface, the coating comprising a first transition bonding layer (21) near the accessory body and a wear-resistant layer (23) located on the side of the first transition bonding layer away from the accessory body, the hardness of the first transition bonding layer being greater than that of the accessory body, and the hardness of the first transition bonding layer being smaller than that of the wear-resistant layer.

IPC Classes  ?

• F16K 3/30 - Gate valves or sliding valves, i.e. cut-off apparatus with closing members having a sliding movement along the seat for opening and closing Details

Abstract

The present disclosure provides a decoding method and apparatus, a coding method and apparatus, and devices therefor. The decoding method includes: determining, based on feature information of a current image region, whether to perform a reconstruction value adjustment on the current image region; if determining to perform the reconstruction value adjustment on the current image region, acquiring an adjustment parameter for the current image region from a bit stream of the current image region; and adjusting a reconstruction value of the current image region based on the adjustment parameter. The present disclosure allows for improved coding and decoding performance.

IPC Classes  ?

• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

1233 of the dome camera, the first position information (i.e., real-time direction/position) of the first object currently detected by the dome camera is converted from a dome camera picture coordinate system to a radar coordinate system in real time, so that radar detection can be rechecked, corrected and supplemented by dome camera detection, the problem of the dependence of a traditional radar-dome camera linkage system on radar detection precision is solved, the situation that the dome camera tracks a wrong object or no object is present in the field of view of the dome camera during object tracking due to the dome camera being linked to rotate depending solely on the radar detection in the traditional radar-dome camera linkage system is avoided, and the object tracking effect is improved.

IPC Classes  ?

• H04N 23/695 - Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
• H04N 23/61 - Control of cameras or camera modules based on recognised objects
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

The present application provides an image detection method. The method comprises: acquiring a query image and one or more prompt information pairs, wherein each prompt information pair comprises a prompt image and a prompt truth value corresponding to the prompt image, the one or more prompt information pairs are used for prompting the type of a first detection task, and the prompt truth value is used for representing a result obtained after the first detection task is executed on the corresponding prompt image; and inputting the query image and the one or more prompt information pairs into an image detection model, and executing the first detection task on the query image by means of the image detection model and on the basis of the prompt image and the corresponding prompt truth value to obtain a detection result, wherein the image detection model has the function of executing different types of detection tasks on the basis of different prompt information pairs, and different types of detection tasks comprise the first detection task.

IPC Classes  ?

• G06T 7/00 - Image analysis

Abstract

The embodiments of the present application provide a coefficient decoding method, an electronic device and a storage medium. The method includes: parsing a code stream to obtain coefficient group information of a unit to be decoded, where coefficients of the unit to be decoded are divided into one or more coefficient groups, each of the coefficient groups includes one or more coefficient codes, the coefficient codes in a same coefficient group are fixed-length codes with a same coding length, the coefficient groups include a first coefficient group, and the coefficient group information includes one or more boundary symbols of the first coefficient group; parsing one or more coefficient codes in the first coefficient group into one or more coefficient values; and determining whether the coefficient values in the first coefficient group are positive or negative according to the boundary symbols.

IPC Classes  ?

• H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
• H04N 19/129 - Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/184 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream

Abstract

Provided in the present application is a camera, comprising: a body, a bracket, a camera assembly and a roller assembly. The bracket is assembled below the body and can rotate relative to the body in the circumferential direction of the body. The camera assembly is assembled on the bracket and comprises a lens. The roller assembly comprises an elastic piece and rollers assembled on the elastic piece. The elastic piece is assembled on one of the body and the bracket, and when the bracket rotates relative to the body, the rollers abut against and come into contact with the other one of the body and the bracket. The rollers serve a supporting function, maintain stability between the bracket and the body, improve the rigidity and vibration resistance of the camera, and can reduce shaking caused by environmental vibrations to the lens, thereby ensuring the image quality.

IPC Classes  ?

• H04N 23/50 - Constructional details

Abstract

A dome camera, comprising a housing (10); a dome-shaped transparent cover (20); a horizontal rotating support (30), which can horizontally rotate, relative to the dome-shaped transparent cover (20), around a first central axis (LP); and a lens assembly (40), which is rotatably mounted on the horizontal rotating support (30) around a second central axis (LT) extending in a horizontal direction, so as to pitch up/down to adjust the direction of a second optical axis (LR). The lens assembly (40) comprises: a lens housing (41), which extends axially in a direction of the second optical axis (LR); a lens (42), which is mounted inside the lens housing (41) and a front end of which is exposed to a lens hole in a front end of the lens housing (41); a fill light lamp (43), which is mounted on the lens housing (41), wherein an emergent ray of the fill light lamp (43) is used for illuminating an image region of the lens (42); and a light shielding assembly (44), which is mounted on the lens housing (41) and is located between the lens (42) and the fill light lamp (43) in a radial direction of the lens housing (41), wherein the light shielding assembly (44) comprises a driving component (441), which is configured to output driving force for changing a gap between the front end of the light shielding assembly (44) and the dome-shaped transparent cover (20) in the direction of the second optical axis.

IPC Classes  ?

• G03B 11/04 - Hoods or caps for eliminating unwanted light from lenses, viewfinders, or focusing aids

Abstract

The present application provides an image decoding method and apparatus, and a device. The method comprises: decoding a first code stream corresponding to the current image block to obtain a coefficient hyperparameter feature; determining a probability distribution parameter on the basis of the coefficient hyperparameter feature, and determining a target mean feature on the basis of the coefficient hyperparameter feature; on the basis of the probability distribution parameter, decoding a second code stream corresponding to the current image block to obtain a residual feature; determining a reconstruction feature on the basis of the target mean feature and the residual feature; and inputting the reconstruction feature into a synthetic transformation network to obtain a reconstructed image block corresponding to the current image block, wherein the synthetic transformation network comprises a nonlinear residual network layer, and the nonlinear residual network layer comprises an activation layer and a skip connection structure. The technical solution of the present application can improve the decoding performance.

IPC Classes  ?

• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder

Goods & Services

Recorded computer operating software for intelligent search; computer software, recorded for intelligent search; computer software applications, downloadable for intelligent search; computer software for intelligent search; computer software platforms (recorded) for intelligent search; facial recognition software; datasets, recorded or downloadable; downloadable computer software for data collection, analysis, and curation in the field of deep learning; computer programs for editing images, sound and video; intelligent search feature installed in cameras, network cameras, video recorders, monitor, data processing apparatus, network communication equipment to search images, sounds, and text Providing search engines for video recorder and cameras; maintenance and installation of computer software for intelligent search; software as a service (SaaS) featuring intelligent search; software engineering services; technological research in the field of intelligent search; research in the field of artificial intelligence technology; development of computer platforms; computer software design; providing virtual computer systems through cloud computing; electronic data storage; updating of computer software; computer programming services for data processing; installation of computer software design and writing of computer software; platform as a service (PaaS) featuring intelligent search; computer software consultancy; software development in the framework of software publishing; maintenance of computer software; technical support services for computer software; creating and designing website-based indexes of information for others (information technology services)

Goods & Services

Recorded computer operating software for intelligent search; computer software, recorded for intelligent search; computer software applications, downloadable for intelligent search; computer software for intelligent search; computer software platforms (recorded) for intelligent search; facial recognition software; datasets, recorded or downloadable; downloadable computer software for data collection, analysis, and curation in the field of deep learning; computer programs for editing images, sound and video; intelligent search feature installed in cameras, network cameras, video recorders, monitor, data processing apparatus, network communication equipment to search images, sounds, and text Providing search engines for video recorder and cameras; maintenance and installation of computer software for intelligent search; software as a service (SaaS) featuring intelligent search; software engineering services; technological research in the field of intelligent search; research in the field of artificial intelligence technology; development of computer platforms; computer software design; providing virtual computer systems through cloud computing; electronic data storage; updating of computer software; computer programming services for data processing; installation of computer software design and writing of computer software; platform as a service (PaaS) featuring intelligent search; computer software consultancy; software development in the framework of software publishing; maintenance of computer software; technical support services for computer software; creating and designing website-based indexes of information for others (information technology services)

Abstract

The present disclosure provides encoding and decoding methods and apparatuses, and devices therefor. According to an embodiment of the decoding method, a to-be-processed image can be divided into X*Y slices, and the number Z of chunks within each slice can be determined. Then, for each of the Y slice lines corresponding to the to-be-processed image, chunks corresponding to X slices in the horizontal direction of the slice line in a target code stream are deinterleaved, to obtain Z chunks for each of the X slices, where the Z chunks include at least two sizes of chunks; and the X slices are decoded based on bitstream buffers corresponding to the X slices in the horizontal direction of the slice line. Where for each of the X slices, a bitstream buffer corresponding to the slice includes the chunks corresponding to the slice.

IPC Classes  ?

• H04N 19/146 - Data rate or code amount at the encoder output
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/174 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
• H04N 19/88 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving rearrangement of data among different coding units, e.g. shuffling, interleaving, scrambling or permutation of pixel data or permutation of transform coefficient data among different blocks

Abstract

A picture decoding method is provided, including: determining a predicted residual value of a pixel point according to a prediction manner of the pixel point, where the predicted residual value is configured to reflect a gradient of the pixel point, the prediction manner is configured to indicate a position of one or more reconstructed pixel points referenced when performing prediction on a pixel point, and the pixel point is any pixel point in a current coding block; determining a target quantization parameter (QP) value of a first pixel point according to the predicted residual value of the first pixel point, where the first pixel point is a target pixel point in the current coding block, and the target pixel point is a preset pixel point for adjusting the QP value; and performing dequantization on the first pixel point according to the target QP value of the first pixel point.

IPC Classes  ?

• H04N 19/124 - Quantisation
• G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/182 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel

Abstract

The embodiments of the present application relate to the technical field of displays. Provided are a remote preview system, method and apparatus, and an electronic device and a storage medium. The remote preview system comprises: a target streaming media service, a remote preview end and various control ends, wherein each control end may determine a target stream push moment shared by the control ends, and when the target stream push moment is reached, actively push to the target streaming media service a bitstream corresponding to the control end; the target streaming media service may receive the bitstreams pushed by the respective control ends, perform bitstream merging on the received bitstreams to obtain a target bitstream, and push the target bitstream to the remote preview end; and in response to having received the target bitstream, the remote preview end may perform preview presentation for a picture of a target screen wall on the basis of the target bitstream. It can be seen that by means of the present solution, effective multi-path stream taking can be realized to perform remote previewing.

IPC Classes  ?

• H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
• H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
• H04N 21/43 - Processing of content or additional data, e.g. demultiplexing additional data from a digital video streamElementary client operations, e.g. monitoring of home network or synchronizing decoder's clockClient middleware
• H04N 21/431 - Generation of visual interfacesContent or additional data rendering

Abstract

A service installation method, apparatus and system, an electronic device, and a storage medium, relating to the technical field of Internet, for use in displaying the installation progress of a service installation package even when a service layer of a server is out of service during the installation of the service installation package in the server. The method comprises: after acquiring a service installation package, installing the service installation package, and controlling a service layer to stop providing services; recording installation progress information of the service installation package in a target storage position of a forwarding layer; and in response to receiving a progress reading instruction sent by a client, sending the installation progress information of the service installation package in the target storage position to the client by means of the forwarding layer, such that the client displays the installation progress of the service installation package.

IPC Classes  ?

• G06F 8/61 - Installation

Abstract

Embodiments of the present application relate to the technical field of fault diagnosis, and provide a fault diagnosis method and apparatus for a large-screen display system, and an electronic device. A large-screen display system comprises a large screen and an output device, and the large screen is pre-divided into a plurality of screen units on the basis of pre-configured wall information. The method comprises: on the basis of the wall information, generating a topological graph comprising nodes and connecting lines, wherein in the topological graph, the nodes are used for representing devices comprised in the large-screen display system, and the connecting lines are used for representing connection relationships between the devices in the large-screen display system; for the connection lines and the nodes in the topological graph, determining whether the devices represented by the nodes and the connection relationships represented by the connecting lines are abnormal; marking a node representing an abnormal device and marking a connecting line representing an abnormal connection relationship in the topological graph, so as to obtain a marked topological graph; and displaying the marked topological graph. By applying the technical solution provided by the embodiments of the present application, the efficiency of abnormality processing can be improved.

IPC Classes  ?

• G09G 3/00 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
• G09G 3/32 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]

Abstract

A retrieval result display method and apparatus, and a device. The method comprises: acquiring a retrieval result corresponding to a retrieval condition, wherein the retrieval result comprises a plurality of initial video files, and a channel identifier and the start and end times of each of the plurality of initial video files (101); on the basis of an acquired video segment duration, performing division to obtain a plurality of time intervals (102); for each of the plurality of time intervals, on the basis of the start times and the end times of all initial video files corresponding to a same channel identifier, and on the basis of one or more initial video files within said time interval, generating a target video file (103); and displaying a retrieval result structure on a target display interface, wherein the retrieval result structure comprises a plurality of data items, and each of the plurality of data items comprises retrieval data corresponding to one target video file (104).

IPC Classes  ?

• G06F 16/738 - Presentation of query results
• G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content

Abstract

An image coding method and apparatus, an image decoding method and apparatus, and an electronic device and a storage medium, which relate to the technical field of image coding and decoding. The image coding method comprises: determining a target prediction mode of a block to be coded, and determining a target prediction sequence corresponding to the target prediction mode (S101); according to the target prediction mode, predicting, according to the target prediction sequence, each pixel in the block to be coded (S102); on the basis of a predicted value of each pixel, determining a residual block of the block to be coded (S103); and coding the residual block according to the target prediction sequence, so as to obtain a code stream of the block to be coded. By means of the method, the efficiency of image coding can be improved.

IPC Classes  ?

• H04N 19/124 - Quantisation
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/91 - Entropy coding, e.g. variable length coding [VLC] or arithmetic coding

Abstract

A dynamic orchestration-based audio-video security protection method is provided. A security sharing gateway identifies a level of audio-video data in an audio-video code stream and an authority of an audio-video retrieval platform before forwarding the audio-video code stream to the audio-video retrieval platform. In a case where the security sharing gateway does not retrieve a platform authority corresponding to the level of the audio-video data, it reports alarm information to a network and data security situation awareness platform. The network and data security situation awareness platform issues a platform authority corresponding to the level of the audio-video data to the security sharing gateway according to the alarm information, and in a case where it is determined that the level of the audio-video data does not match the authority of the audio-video retrieval platform, dynamically adjusts a security protection strategy of at least one other gateway in the system.

IPC Classes  ?

• H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
• G06F 21/16 - Program or content traceability, e.g. by watermarking
• H04L 9/08 - Key distribution
• H04L 9/14 - Arrangements for secret or secure communicationsNetwork security protocols using a plurality of keys or algorithms

Abstract

The embodiments of the present application relate to the technical field of image processing. Provided are a watermark superimposition method and an electronic device. The method comprises: determining from a display interface a target area where target information is located; determining a parameter range, to which a specified pixel parameter of each pixel point in a specified area belongs, to be a pixel parameter range; in the image in which the specified area is located, adjusting specified pixel parameters of pixel points in image areas other than the specified area, such that the specified pixel parameters are out of the pixel parameter range; and performing a preset processing operation on the display interface and a target watermark image, so as to obtain a watermark-superimposed image, wherein in the watermark-superimposed image, pixel parameters of pixel points in superimposition areas, which have the same position information as the target area, are pixel parameters of pixel points having the same position information in the display interface. By means of applying the method provided in the embodiments of the present application, target information in a display interface can be prevented from being covered by watermark characters.

IPC Classes  ?

• H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver

Abstract

The present disclosure provides a neural network-based security defense method for encrypted multimedia data, including: adding implicit digital watermark information to original encrypted multimedia traffic to obtain watermark encrypted multimedia traffic; determining a first feature sequence of the watermark encrypted multimedia traffic; based on the first feature sequence and a second feature sequence of the original encrypted multimedia traffic, determining a correlation coefficient between the first feature sequence and the second feature sequence; and if the correlation coefficient indicates that a negative correlation between the first feature sequence and the second feature sequence satisfies a preset condition, performing training based on the first feature sequence and the second feature sequence to obtain a target neural network, where the target neural network is configured to identify whether there is implicit digital watermark information in encrypted multimedia traffic to be detected.

IPC Classes  ?

• G06F 21/16 - Program or content traceability, e.g. by watermarking
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/08 - Learning methods
• H04N 19/124 - Quantisation
• H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
• H04N 19/625 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]

Abstract

The present application relates to the technical field of communications. Disclosed are a ticket processing method, apparatus and system, and a server and a storage medium, which can realize secondary allocation of service tickets, thus improving the ticket processing efficiency. The method comprises: proactively pushing a first service ticket to electronic devices of a plurality of user accounts, wherein the plurality of user accounts are user accounts having permission to process the first service ticket; acquiring a first ticket processing request from an electronic device of a first user account; and when tickets of the other user accounts that wait to be processed do not comprise the first service ticket, configuring the first service ticket as a ticket of the first user account that waits to be processed, and revoking permission of the other user accounts to process the first service ticket.

IPC Classes  ?

• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06Q 10/10 - Office automationTime management

Abstract

Provided in the embodiments of the present application are an image display method, a system, and an electronic device. The method comprises: displaying a first image marked with a tampered area. By means of the embodiments, a user can be alerted to the tampering of image content, thereby facilitating subsequent operations performed by the user on multimedia data.

IPC Classes  ?

• G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
• G06V 20/40 - ScenesScene-specific elements in video content

Abstract

A data transmission system and an automatic delay value acquisition method. For an interface to be tested, an AD chip determines a first delay test value of a clock line relative to a data line on the basis of a preset delay set, sends first test data to an SOC chip by means of the data line, uses a delay-locked loop module to generate a clock signal on the basis of the first delay test value, and sends the clock signal to the SOC chip by means of the clock line; the SOC chip receives, on the basis of the clock signal, the first test data sent by the AD chip to obtain second test data, and returns the second test data to the AD chip; the AD chip compares the received test data with the first test data sent by the AD chip, and when the received test data and the first test data are the same, determines that the first delay test value is a target delay test value. In this way, when using the AD chip, the delay value of the clock line relative to the data line can be automatically determined, and because the delay value is obtained by automatic testing conducted by the device, the test efficiency is significantly enhanced, and the test accuracy is improved.

IPC Classes  ?

• G06F 11/22 - Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing

Abstract

The present application provides a camera for an elderly care home. The camera comprises a housing, a lens, a mounting frame, a flip cover, and a motor. The housing is provided with a storage cavity and a window communicated with the storage cavity. The lens, the mounting frame, the flip cover, and the motor are located in the storage cavity. The flip cover is rotatably mounted to the mounting frame. The flip cover comprises a blocking portion and a fixing portion connected to the blocking portion. A motor shaft of the motor is directly fixed to the fixing portion, so as to drive the flip cover to switch between an open position and a closed position. In the closed position, the blocking portion blocks the window so as to hide the lens; and in an open state, the blocking portion deviates from the window and enters the storage cavity so as to expose the lens. According to the camera, the motor directly drives the flip cover to rotate so as to achieve a flipping motion of the flip cover, the structure is simple, and the number of components in a transmission system is reduced, so that the costs are reduced, and the assembly efficiency and the reliability are improved.

IPC Classes  ?

• H04N 23/50 - Constructional details

Abstract

A traffic parameter processing method and apparatus, and a device and a medium. The traffic parameter processing method comprises: acquiring real-time traffic data collected by at least one sensor for a target region at a current monitoring moment (S100); on the basis of the real-time traffic data and lane information of the target region, obtaining a pending vehicle queue of at least one lane in the target region (S200); comparing the pending vehicle queue with a reference vehicle queue, and determining at least one occluded vehicle target in the pending vehicle queue (S300); on the basis of reference position information and position information and speed information of the occluded vehicle target in the reference vehicle queue, predicting current position information of the occluded vehicle target (S400); and on the basis of the current position information of the at least one occluded vehicle target, updating the pending vehicle queue to obtain a complete vehicle queue in the lane at the current moment (S500).

IPC Classes  ?

• G08G 1/01 - Detecting movement of traffic to be counted or controlled

Abstract

Embodiments of the present disclosure relate to the field of video coding and decoding, and provide a picture decoding method, a picture coding method, and corresponding apparatuses. According to an example of the picture decoding method, a quantization parameter (QP) value of at least one pixel point is determined for any at least one pixel point indicating one pixel point or a plurality of parallel dequantized pixel points in the current coding block, the QP values of at least two pixel points among pixel points in the current coding block being different. The at least one pixel point is then dequantized according to the QP value of the at least one pixel point. The QP value of each pixel point is determined for the coding block; therefore, each pixel point can be dequantized according to the QP value of each pixel point.

IPC Classes  ?

• H04N 11/02 - Colour television systems with bandwidth reduction
• H04N 19/124 - Quantisation
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

The present disclosure provides methods, apparatuses and devices for coding and decoding. When determining to enable a weighted prediction for a current block, the method includes: for the current block, obtaining a weighted prediction angle of the current block; for each pixel position of the current block, determining a surrounding matching position pointed by the pixel position from surrounding positions outside the current block based on the weighted prediction angle of the current block; determining a target weight value of the pixel position based on a reference weight value associated with the surrounding matching position; determining an association weight value of the pixel position based on the target weight value of the pixel position; determining a first prediction value of the pixel position based on a first prediction mode of the current block; determining a second prediction value of the pixel position based on a second prediction mode of the current block; and based on the first prediction value, the target weight value, the second prediction value and the association weight value, determining a weighted prediction value of the pixel position; and determining weighted prediction values of the current block based on the weighted prediction values of all pixel positions of the current block.

IPC Classes  ?

• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/137 - Motion inside a coding unit, e.g. average field, frame or block difference
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/46 - Embedding additional information in the video signal during the compression process

Abstract

Disclosed in the present application are a method and apparatus for identifying a traffic behavior, and a storage medium and an electronic device. The method comprises: acquiring a radar image on the basis of a collected signal of a radar sensor, and acquiring a video image on the basis of a collected signal of a video sensor; performing feature extraction on the radar image, performing feature extraction on the video image, and performing feature fusion on a feature extraction result of the radar image and a feature extraction result of the video image, so as to obtain a fused feature; performing traffic target detection on the basis of the fused feature, so as to obtain a detection result in a real physical coordinate space; performing traffic target tracking on the basis of the detection result in the real physical coordinate space, so as to generate a target queue trajectory of the traffic target; and identifying a target traffic behavior on the basis of the target queue trajectory.

IPC Classes  ?

• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 20/40 - ScenesScene-specific elements in video content

Abstract

The present application provides a decoding method and apparatus, an encoding method and apparatus, and devices therefor. The decoding method comprises: decoding a bitstream corresponding to a current image block to obtain a coefficient hyperparameter feature; on the basis of the coefficient hyperparameter feature, determining a probability distribution parameter, and on the basis of the probability distribution parameter, decoding a bitstream corresponding to the current image block to obtain an initial reconstruction feature; on the basis of the initial reconstruction feature, determining an initial reconstructed image block corresponding to the current image block, wherein the initial reconstructed image block comprises an initial luminance reconstructed image block and an initial chrominance reconstructed image block; and performing luminance edge enhancement on the initial luminance reconstructed image block to obtain a target luminance reconstructed image block. The technical solution of the present application can improve encoding performance and decoding performance.

IPC Classes  ?

• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Goods & Services

(1) Network access server hardware; Computer networking hardware; VPN (virtual private network) hardware; WAN (wide area network) hardware; BAN (body area network) hardware; LAN (local area network) hardware; Computer hardware, namely, wireless network extenders; Computer hardware and recorded software for setting up and configuring local area networks sold as a unit; Telecommunications and data networking hardware, namely, devices for transporting and aggregating voice, data, and video communications across multiple network infrastructures and communications protocols; Network routers; Wireless routers; Gateway routers; Computer network routers; Routers with embedded network configuration software; Downloadable network access server operating software; Downloadable network video recording software for IP (Internet Protocol) video surveillance; Downloadable communications software for connecting computer network users; Downloadable computer networking software; Downloadable LAN (local area network) operating software; Downloadable VPN (virtual private network) operating software; Downloadable WAN (wide area network) operating software; Downloadable computer software for administration of computer networks;

Goods & Services

Network access server hardware; Computer networking hardware; VPN (virtual private network) hardware; WAN (wide area network) hardware; BAN (body area network) hardware; LAN (local area network) hardware; Computer hardware, namely, wireless network extenders; Computer hardware and recorded software for setting up and configuring local area networks sold as a unit; Telecommunications and data networking hardware, namely, devices for transporting and aggregating voice, data, and video communications across multiple network infrastructures and communications protocols; Network routers; Wireless routers; Gateway routers; Computer network routers; Routers with embedded network configuration software; Downloadable network access server operating software; Downloadable network video recording software for IP (Internet Protocol) video surveillance; Downloadable communications software for connecting computer network users; Downloadable computer networking software; Downloadable LAN (local area network) operating software; Downloadable VPN (virtual private network) operating software; Downloadable WAN (wide area network) operating software; Downloadable computer software for administration of computer networks

Goods & Services

Computer programs, downloadable, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software applications, downloadable, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer programs, recorded, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software for operation and control of audio and video equipment; Datasets, recorded or downloadable; Image, chart and word processing software; Downloadable computer software for data collection, analysis and curation in the field of deep learning; Camcorder installed with artificial intelligence (AI) large models; Monitoring apparatus, other than for medical purposes installed with artificial intelligence (AI) large models; Optical apparatus and instruments installed with artificial intelligence (AI) large models; Network video recorders installed with artificial intelligence (AI) large models; Security check devices installed with artificial intelligence (AI) large models; Data processing apparatus; Computer programs (software downloadable) for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software platforms, recorded or downloadable for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Mobile phone software applications, downloadable for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software, recorded, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models Research in the field of artificial intelligence technology; Design and development of multimedia products; Development of computer platforms; Computer system design; Computer software design; Design and development of application software for mobile phones; Cloud computing; Providing virtual computer systems through cloud computing; Information technology [IT] consultancy; Electronic data storage; Maintenance of computer software; Software as a service [SaaS]; Updating of computer software; Providing search engines for the internet; Technological consulting services for digital transformation; Computer programming services for data processing; Creating and designing website-based indexes of information for others [information technology services]; Conversion of computer programs and data, other than physical conversion; Installation of computer software; Platform as a service [PaaS]; Providing information relating to computer technology and programming via a website

Goods & Services

Computer programs, downloadable, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software applications, downloadable, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer programs, recorded, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer software for operation and control of audio and video equipment; Datasets, recorded or downloadable; Image, chart and word processing software; Downloadable computer software for data collection, analysis and curation in the field of deep learning; Camcorder installed with artificial intelligence (AI) large models; Monitoring apparatus, other than for medical purposes installed with artificial intelligence (AI) large models; Optical apparatus and instruments installed with artificial intelligence (AI) large models; Network video recorders installed with artificial intelligence (AI) large models; Security check devices installed with artificial intelligence (AI) large models; Computer software, recorded, for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Mobile phone software applications, downloadable for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Computer programs (software downloadable) for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models; Data processing apparatus; Computer software platforms, recorded or downloadable for the development, deployment, maintenance, updating and optimization of artificial intelligence (AI) large models Research in the field of artificial intelligence technology; Design and development of multimedia products; Development of computer platforms; Computer system design; Computer software design; Design and development of application software for mobile phones; Cloud computing; Providing virtual computer systems through cloud computing; Information technology [IT] consultancy; Electronic data storage; Maintenance of computer software; Software as a service [SaaS]; Updating of computer software; Providing search engines for the internet; Technological consulting services for digital transformation; Computer programming services for data processing; Creating and designing website-based indexes of information for others [information technology services]; Conversion of computer programs and data, other than physical conversion; Installation of computer software; Platform as a service [PaaS]; Providing information relating to computer technology and programming via a website

Abstract

The embodiments of the present application provide a coefficient decoding method, an electronic device and a storage medium. The method includes: parsing a code stream to obtain coefficient group information of a unit to be decoded, where coefficients of the unit to be decoded are divided into one or more coefficient groups, each of the coefficient groups includes one or more coefficient codes, the coefficient codes in a same coefficient group are fixed-length codes with a same coding length, the coefficient groups include a first coefficient group, and the coefficient group information includes one or more boundary symbols of the first coefficient group; parsing one or more coefficient codes in the first coefficient group into one or more coefficient values; and determining whether the coefficient values in the first coefficient group are positive or negative according to the boundary symbols

IPC Classes  ?

• H04N 11/02 - Colour television systems with bandwidth reduction
• H04N 19/129 - Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/184 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream
• H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding

Abstract

Embodiments of the present disclosure provide an encoding and decoding method, apparatus and device. The method includes: obtaining a weight prediction angle and weight configuration parameters; configuring reference weight values for surrounding positions outside the current block; determining a surrounding matching position to which the pixel position points; determining a target weight value of the pixel position based on a reference weight value associated with the surrounding matching position, and determining an associated weight value of the pixel position based on the target weight value of the pixel position; determining a first prediction value of the pixel position and a second prediction value; determining a weighted prediction value of the pixel position based on the first prediction value, target weight value, second prediction value and associated weight value; determining weighted prediction values of the current block based on the weighted prediction value of each pixel position of the current block.

IPC Classes  ?

• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/137 - Motion inside a coding unit, e.g. average field, frame or block difference
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

The present application provides a camera capable of reducing interference of flying insects, comprising: a camera body, which is formed as a cuboid with a cavity inside and has the front end in the length direction provided with an opening, the width direction of the opening extending in the horizontal direction; a front cover, which is arranged on the opening to close the cavity; a lens assembly, which is mounted on the front cover by means of a first fixing sheet metal; a fill light assembly, which is mounted on the inner side of the front cover and provides an auxiliary light source towards the field of view of the lens assembly; and a mainboard assembly, which is arranged on the front cover by means of a second fixing sheet metal, wherein the lens assembly and the fill light assembly are arranged on the front cover in the horizontal direction, and the lens assembly is mounted in a space defined by the first fixing sheet metal and the second fixing sheet metal.

IPC Classes  ?

• H04N 23/55 - Optical parts specially adapted for electronic image sensorsMounting thereof

Abstract

A battery quality online detection method and apparatus, and a device. The method comprises: in a non-contact manner, collecting an initial ultrasonic signal of the surface of a slurry, the slurry being obtained by mixing and stirring a positive electrode solid-state battery material and a negative electrode solid-state battery material (201); acquiring a target ultrasonic signal corresponding to the initial ultrasonic signal (202); acquiring an acoustic feature and a signal feature of the target ultrasonic signal, and fusing the acoustic feature and the signal feature to obtain a fused feature (203); on the basis of the fused feature, predicting material components of the slurry (204); and on the basis of the material components, detecting the battery quality corresponding to the slurry (205). Battery quality online detection is achieved during slurry stirring, and battery quality can be significantly improved.

IPC Classes  ?

• G01N 29/02 - Analysing fluids
• G01N 29/44 - Processing the detected response signal
• G01N 21/17 - Systems in which incident light is modified in accordance with the properties of the material investigated
• G01N 29/032 - Analysing fluids by measuring attenuation of acoustic waves
• G01N 29/024 - Analysing fluids by measuring propagation velocity or propagation time of acoustic waves
• G01N 29/028 - Analysing fluids by measuring mechanical or acoustic impedance

Goods & Services

(1) Computer programs, downloadable; computer software applications, downloadable; computer programs, recorded; computer programs (software downloadable); chatbot software for simulating conversations; data processing apparatus; computer software platforms, recorded or downloadable; mobile phone software applications, downloadable; computer software, recorded; computer software for operation and control of audio and video equipment; datasets, recorded or downloadable; image, chart and word processing software; downloadable computer software for data collection, analysis and curation in the field of deep learning; facial recognition apparatus; network communication equipment; camcorders; monitoring apparatus, other than for medical purposes; detectors; infrared detectors; air analysis apparatus; optical apparatus and instruments; video screens; electronic numeric displays; sensor; alarms; theft prevention installations, electric; batteries, electric; computer servers; network servers; network Video Recorders; radar apparatus; security check devices. (1) Research in the field of artificial intelligence technology; design and development of multimedia products; development of computer platforms; computer system design; computer software design; design and development of application software for mobile phones; cloud computing; consultancy in the design and development of computer hardware; providing virtual computer systems through cloud computing; information technology [IT] consultancy; electronic data storage; maintenance of computer software; software as a service [SaaS]; updating of computer software; providing information relating to computer technology and programming via a website; computer software design; providing search engines for the internet; technological consulting services for digital transformation; computer programming services for data processing; creating and designing website-based indexes of information for others [information technology services]; conversion of computer programs and data, other than physical conversion; installation of computer software; platform as a service [PaaS].

Goods & Services

(1) Computer programs, downloadable; computer software applications, downloadable; computer programs, recorded; computer programs (software downloadable); chatbot software for simulating conversations; data processing apparatus; computer software platforms, recorded or downloadable; mobile phone software applications, downloadable; computer software, recorded; computer software for operation and control of audio and video equipment; datasets, recorded or downloadable; image, chart and word processing software; downloadable computer software for data collection, analysis and curation in the field of deep learning; facial recognition apparatus; network communication equipment; camcorders; monitoring apparatus, other than for medical purposes; detectors; infrared detectors; air analysis apparatus; optical apparatus and instruments; video screens; electronic numeric displays; sensor; alarms; theft prevention installations, electric; batteries, electric; computer servers; network servers; network Video Recorders; radar apparatus; security check devices. (1) Research in the field of artificial intelligence technology; design and development of multimedia products; development of computer platforms; computer system design; computer software design; design and development of application software for mobile phones; cloud computing; consultancy in the design and development of computer hardware; providing virtual computer systems through cloud computing; information technology [IT] consultancy; electronic data storage; maintenance of computer software; software as a service [SaaS]; updating of computer software; providing information relating to computer technology and programming via a website; computer software design; providing search engines for the internet; technological consulting services for digital transformation; computer programming services for data processing; creating and designing website-based indexes of information for others [information technology services]; conversion of computer programs and data, other than physical conversion; installation of computer software; platform as a service [PaaS].

Abstract

The present application discloses image coding and decoding methods and apparatuses, and a storage medium, relates to the field of image coding and decoding technologies, and helps to improve coding and decoding efficiency. An image decoding method includes: parsing a code stream to obtain a first syntax element, where the first syntax element includes an index of a target prediction mode of a to-be-decoded unit; determining the target prediction mode from an index table based on the index of the target prediction mode, where the index table includes correspondences between indexes of multiple prediction modes and the multiple prediction modes; reconstructing the to-be-decoded unit based on at least the target prediction mode to obtain a reconstructed block.

IPC Classes  ?

• H04N 11/02 - Colour television systems with bandwidth reduction
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder

Abstract

Embodiments of the present application provide a video transcoding method, a video display method, an apparatus and an electronic device, which relate to the field of video processing technology. The video transcoding method includes: acquiring a first image in an initial images obtained by stitching multi-channel video images; determining an initial resolution of each of initial sub-images; wherein each initial resolution is not greater than a maximum resolution of input data that can be supported by a preset encoder, and a target resolution of a target sub-image obtained after transcoding each initial sub-image is not greater than a maximum resolution of output data that can be supported by the preset encoder; segmenting a to-be-cut image into respective initial sub-images based on the respective initial resolutions; encoding each initial sub-image according to a target resolution of a target sub-image after transcoding this initial sub-image by using a preset encoder, to obtain each of target code-streams. Compared with the prior art, by applying the solution provided by the embodiments of the present application, it is possible to transcode the video screen obtained after stitching multi-channel video screens.

IPC Classes  ?

• H04N 19/40 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video transcoding, i.e. partial or full decoding of a coded input stream followed by re-encoding of the decoded output stream
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/136 - Incoming video signal characteristics or properties
• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field

Goods & Services

Data processing apparatus; Computer memories; Computer programs, recorded; Computer operating programs, recorded; Computer peripheral devices; Computer software (recorded); Microprocessors; Monitors (computer hardware); Monitor programs (computer programs); Central processing units; Readers (data processing equipment); Smart cards (integrated circuit cards); Computer programs (downloadable software); USB flash disks; Parking meters; Mechanisms for coin-operated apparatus; Coin-operated gates for car parks or parking lots; Flashing lights (luminous signals); Signal lanterns; Signaling panels, luminous or mechanical; Signals, luminous or mechanical; Notice boards (Electronic); Luminous electric indicators; Traffic flashlights (Signals apparatus); Apparatus for radiograms; Intercommunication apparatus; Radar apparatus; Remote control of signals (Electro-dynamic apparatus for the -); Means of conveyance (Navigation apparatus for -) (on-board computers); Apparatus for Global Positioning System (GPS); optical communication instrument; Network Communication Equipment; Electric monitoring installations; Video recorders; Portable media players; Speed measuring apparatus (photography); Flashlights (photography); Detectors; Speed measuring apparatus for means of conveyance; Audiovisual teaching apparatus; Lasers, not for medical purposes; Simulators for the steering and control of means of conveyance; Optical lenses; Optical apparatus and instruments; semiconductor apparatus; Video display screens; Remote control apparatus; Protection devices for personal use against accidents; Sound alarms; Alarms; Theft prevention installations, electric; Fire alarms; Locks, electric; Buzzers; Smoke alarms; Smoke detectors; Accumulators, electric; proximity (distance) sensors for vehicles; Cameras (photography); Robots for the purpose of safety monitoring; Downloadable software for mobile phones; Monitoring apparatus for non-medical purpose; Lens hoods; Batteries, electric; video screens; humanoid robots with artificial intelligence; camcorders; Video telephones

Abstract

The present disclosure discloses picture decoding methods and apparatuses, and picture encoding methods and apparatuses, relating to the field of video coding and decoding technologies, and solving the problem of low prediction efficiency in a process of picture coding and decoding (or video coding and decoding). The picture decoding method includes: parsing a bit stream to obtain a syntax element, where the syntax element is configured to obtain a residual block of a to-be-decoded unit, and the to-be-decoded unit includes at least one prediction group; determining a prediction mode of any one prediction group in the at least one prediction group; obtaining a prediction value of the any one prediction group by performing prediction for the any one prediction group with the prediction mode; and decoding the to-be-decoded unit based on the residual block of the to-be-decoded unit and the prediction value of each one in the at least one prediction group.

IPC Classes  ?

• H04N 19/196 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/167 - Position within a video image, e.g. region of interest [ROI]
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

The present application discloses a camera. The camera comprises an inner shell and an outer shell which are coaxial; two ends of an annular space between the inner shell and the shell are respectively sealed with a first flange and a second flange, so that a first accommodating space is formed between the inner shell and the outer shell; a front cover assembly is inserted into a connecting portion of the outer shell, an insertion portion of the front cover assembly is recessed radially to form an accommodating recess, and the accommodating recess and the connecting portion form a second accommodating space; the first accommodating space is communicated with the second accommodating space by means of an air outlet through hole of the first flange and a through air hole of a mounting panel of the front cover assembly, and the second flange at the tail of the camera is provided with an air inlet through hole, so that a cooling gas can sequentially flow through the first accommodating space and the second accommodating space through the air inlet through hole, and purge a camera window on the mounting panel through an air outlet groove of a bottom plate of the second accommodating space. The structure is simple, and mounting and assembly are convenient; in addition, a negative pressure phenomenon of the camera window can be avoided, and the cooling and dust removal effects are good.

IPC Classes  ?

• H04N 23/51 - Housings
• G03B 17/55 - Details of cameras or camera bodiesAccessories therefor with provision for heating or cooling, e.g. in aircraft

Abstract

A model quantization method and apparatus, and a device and a storage medium, which belong to the technical field of model quantization. The method comprises: acquiring a performance deviation corresponding to each model layer in a model to be quantized; constructing a hierarchical quantization sequence according to the performance deviations corresponding to the respective model layers; and performing hierarchical quantization processing on the model layers in said model on the basis of the hierarchical quantization sequence. A hierarchical quantization sequence is constructed according to performance deviations corresponding to respective model layers in a model to be quantized, hierarchical quantization processing is respectively performed on the model layers in said model according to the sequence order of the hierarchical quantization sequence, and after quantization during the processing, parameter adjustment and correction are used to reduce a performance loss of the model to the greatest possible extent, which performance loss is generated by low-bit quantization.

IPC Classes  ?

• G06N 3/082 - Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/0495 - Quantised networksSparse networksCompressed networks

Abstract

Provided in the present disclosure are a decoding method and apparatus, and a device. The method comprises: decoding a code stream corresponding to the current image block, so as to obtain a target feature corresponding to the current image block; determining a first input feature of a target decoding network on the basis of the target feature; acquiring a target feature value quantization bit width and a target feature value quantization hyper-parameter of the target decoding network, and converting the first input feature into a second input feature on the basis of the target feature value quantization bit width and the target feature value quantization hyper-parameter; processing the second input feature on the basis of an integer weight of the target decoding network, so as to obtain an output feature of the target decoding network, wherein the integer weight is determined on the basis of a target weight quantization bit width and a target weight quantization hyper-parameter; and on the basis of the output feature of the target decoding network, determining a reconstructed image block corresponding to the current image block. By means of the technical solution of the present disclosure, the decoding calculation amount can be reduced on the premise of ensuring the decoding quality.

IPC Classes  ?

• H04N 19/91 - Entropy coding, e.g. variable length coding [VLC] or arithmetic coding

Abstract

The present application provides a video encoding/decoding method and apparatus. The method includes: obtaining, by a decoding end, a code stream of a unit to be decoded; determining a scanning manner and a grouping manner of the unit to be decoded, and an coding manner corresponding to each group; decoding according to the coding manner of each group to obtain one or more coefficient blocks corresponding to the unit to be decoded; and recovering one or more coefficients in each of the coefficient blocks in each group one by one according to the scanning manner of the unit to be decoded to obtain one or more reconstructed data blocks corresponding to the unit to be decoded.

IPC Classes  ?

• H04N 19/174 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
• H04N 19/103 - Selection of coding mode or of prediction mode
• H04N 19/129 - Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
• H04N 19/136 - Incoming video signal characteristics or properties
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

Embodiments of the present application relate to the technical field of network topology display, and provide a display method and apparatus for a network topology structure, and an electronic device. The display method for a network topology structure comprises: determining an initial network topology structure, wherein each node in the initial network topology structure is used for representing one device in a network system; identifying whether there are nodes satisfying an aggregation condition among nodes at a same level of the initial network topological structure, wherein the nodes satisfying the aggregation condition comprise a plurality of nodes representing a same device type and having a same parent node; aggregating the nodes satisfying the aggregation condition to obtain aggregated nodes corresponding to the nodes satisfying the aggregation condition; and displaying the initial network topology structure that has undergone aggregation as a target network topology structure of the network system. Therefore, this solution can improve the convenience of viewing a network topology structure.

IPC Classes  ?

• H04L 41/12 - Discovery or management of network topologies

Abstract

A decoding method and apparatus, and an encoding method and apparatus for a picture are provided, and relate to the field of video encoding and decoding. The decoding method includes: analyzing a code stream to obtain one or more picture frames, wherein a picture frame comprises one or more coding units (CUs); determining a plurality of quantization parameter (QP) values for the picture frame, wherein a CU comprises a plurality of quantization groups (QGs), and a QG corresponds to a QP value; and decoding the picture frame based on the plurality of QP values.

IPC Classes  ?

• H04N 19/124 - Quantisation
• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component

Abstract

Traffic proxy-based Internet of Things terminal key information leakage monitoring methods and systems, electronic devices, storage media, and computer programs. An example method includes: receiving a proxy request sent by an Internet of Things terminal, the proxy request including protocol related information of the Internet of Things terminal, and the protocol related information including part or all of device model information, service type information, and data packet information; according to the protocol related information of the Internet of Things terminal, determining a target protocol corresponding to the Internet of Things terminal; and allocating a target proxy service to the Internet of Things terminal according to the target protocol, and a usage state and an online state of each proxy service in a full traffic proxy pool, and performing key information monitoring on the traffic of the Internet of Things terminal by the target proxy service.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• H04L 67/56 - Provisioning of proxy services
• H04L 69/18 - Multiprotocol handlers, e.g. single devices capable of handling multiple protocols

Abstract

A palm image acquisition device, method and apparatus, and an electronic device. The acquisition device comprises a short-focus lens (1), a long-focus lens (2), a first transflective mirror (31), a first reflector (32), a second transflective mirror (41), a second reflector (42), a visible light photosensitive element (5) and a near-infrared light photosensitive element (6). When the short-focus lens (1) is activated, visible light sequentially passes through the short-focus lens (1) and the first transflective mirror (31) and is propagated to the visible light photosensitive element (5), and near-infrared light passes through the short-focus lens (1) and is sequentially reflected by the first transflective mirror (31) and the second reflector (42) and propagated to the near-infrared light photosensitive element (6); and when the long-focus lens (2) is activated, near-infrared light sequentially passes through the long-focus lens (2) and the second transflective mirror (41) and is propagated to the near-infrared light photosensitive element (6), and visible light passes through the long-focus lens (2) and is sequentially reflected by the second transflective mirror (41) and the first reflector (32) and propagated to the visible light photosensitive element (5).

IPC Classes  ?

• G06V 40/13 - Sensors therefor

Abstract

Provided in the present application are a palm image collection device, method and apparatus, and an electronic device. The collection device comprises: a visible light lens, a near-infrared lens, a first reflector, a semi-transparent and semi-reflective mirror, and a high-speed photosensitive element, wherein when the visible light lens is turned on, visible light irradiating a palm passes through the visible light lens, and is sequentially reflected by the first reflector and the semi-transparent and semi-reflective mirror and is then transmitted to the high-speed photosensitive element; and when the near-infrared lens is turned on, near-infrared light irradiating the palm sequentially passes through the near-infrared lens and the semi-transparent and semi-reflective mirror and is transmitted to the high-speed photosensitive element.

IPC Classes  ?

• G06V 40/13 - Sensors therefor

Abstract

A data privacy protection method based on multi-layer encryption is disclosed, which is related to the technical field of network technologies. The method includes: by an initial client, encrypting service data based on a public key set to obtain first to-be-processed data, and sending the first to-be-processed data to a next client; by an intermediate client, obtaining the first to-be-processed data sent by a previous client, encrypting service data based on a public key set to obtain second encrypted data, and sending second to-be-processed data and the second encrypted data to a next client; by a final client, obtaining the second to-be-processed data and the second encrypted data sent by a previous client, decrypting the second to-be-processed data and the second encrypted data based on its own private key, to obtain service data of each of other clients other than the final client itself, and sending the service data of all of the clients in a data privacy protection system to a preset service platform. The embodiments of the present application are applied to reduce the risk of user's privacy data leakage.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• H04L 9/30 - Public key, i.e. encryption algorithm being computationally infeasible to invert and users' encryption keys not requiring secrecy

Abstract

The present disclosure provides methods and apparatuses for implementing high-speed cryptographic operations based on software-hardware collaboration, and electronic devices. In the embodiments of the present disclosure, by analyzing software and hardware computing resources in real-time, the cryptographic device driver allocates the one or more target resources for cryptographic computation to the reference data packets. When the one or more target resources include the target cryptographic device, the cryptographic device executes, according to the characteristics of the target cryptographic algorithm used to perform cryptographic computation on the reference data packet, the acceleration operation corresponding to the target cryptographic algorithm for the cryptographic computation on the reference data packets, such as grouping the reference data packets, to improve a concurrent execution rate of an algorithm and cope with situations with a large amount of service concurrency and data processing.

IPC Classes  ?

• H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems

Abstract

The present application provides an image processing method, apparatus and system and a device. The method comprises: acquiring a privacy protection image corresponding to an original sensitive image, wherein the privacy protection image is an image obtained by performing a scrambling operation on the original sensitive image by using scrambling parameters; and inputting the privacy protection image to a target network model to obtain an image processing result corresponding to the privacy protection image, wherein weights in the target network model are scrambled by using the scrambling parameters.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06V 40/50 - Maintenance of biometric data or enrolment thereof
• G06T 9/00 - Image coding
• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks
• G06N 3/08 - Learning methods
• H04N 1/44 - Secrecy systems

Abstract

Provided are a connecting wire harness structure (100) and an electronic device (1000). The connecting wire harness structure (100) comprises one or more connecting circuit boards (10), at least two cables (20), and a stress relief structure (30); a first end (1011) and a second end (1012), which are opposite to each other, of each connecting circuit board (10) are respectively provided with at least one electrical connecting button (11, 12, 13, 14, 15, 16); the at least two cables (20) comprise at least one first cable (21) connected to at least one first electrical connecting button (11, 1101) located on the first end (1011) of the connecting circuit board (10), and at least one second cable (22) connected to at least one second electrical connecting button (12, 1201, 1202) located on the second end (1012) of the connecting circuit board (10); the stress relief structure (30) comprises a prefabricated protective housing (31) and a mounting portion (32), wherein the protective housing (31) is provided with an accommodating cavity (301) penetrating through the two opposite end of the protective housing (31), and the mounting portion (32) at least comprises a mounting main body located at the outer edge of the protective housing (31); the connecting circuit board (10) is arranged in the accommodating cavity (301), the at least one first cable (21) extends out of one end of the accommodating cavity (301), and the at least one second cable (22) extends out of the other end of the accommodating cavity (301).

IPC Classes  ?

• H01R 13/52 - Dustproof, splashproof, drip-proof, waterproof, or flameproof cases
• H01R 13/502 - BasesCases composed of different pieces
• H01R 13/73 - Means for mounting coupling parts to apparatus or structures, e.g. to a wall

Abstract

An optical filtering micro-nano structure (20) and a filter array. The optical filtering micro-nano structure (20) comprises: a first micro-nano modulation layer (21) arranged on a transparent substrate (10) of a filter, wherein the material of the first micro-nano modulation layer (21) is one of a transparent material and an optical loss material; a second micro-nano modulation layer (22) arranged on the side of the first micro-nano modulation layer (21) facing away from the transparent substrate (10), wherein the material of the second micro-nano modulation layer (22) is the other of the transparent material and the optical loss material; and a transparent protective layer (23) covering the first micro-nano modulation layer (21) and the second micro-nano modulation layer (22) and connected to the transparent substrate (10), wherein the refractive index of the transparent material is higher than the refractive index of the material of the transparent substrate (10) and the transparent protective layer (23). A filter array having the present optical filtering micro-nano structure (20) can be used for broadband filtering of color imaging with small-size pixels, and increases the transmittance of incident light, thereby realizing a color imaging function in low illumination.

IPC Classes  ?

• G02B 5/20 - Filters

Abstract

A modulation structure (20) for infrared hyperspectral imaging, a detector, and an infrared spectrometer. The modulation structure (20) comprises: a detector window packaging layer (10); an infrared antireflection film (40), wherein the infrared antireflection film (40) is arranged on the surface of the side of the detector window packaging layer (10) facing a pixel array (30), and the refractive index of the material of the infrared antireflection film (40) is smaller than that of the material of the detector window packaging layer (10); and a plurality of microstructure modulation units (21), wherein the plurality of microstructure modulation units (21) are arranged, according to a preset arrangement rule, on the surface of the side of the infrared antireflection film (40) facing away from the detector window packaging layer (10), so that a partial area on the surface of the side of the infrared antireflection film (40) facing away from the detector window packaging layer (10) is vacant to form at least one vacancy modulation unit (22). By means of the infrared antireflection film (40) and the vacancy design, the luminous fluxes of the microstructure modulation units (21) are increased, so that a high signal-to-noise ratio can be achieved.

IPC Classes  ?

• G01J 3/02 - SpectrometrySpectrophotometryMonochromatorsMeasuring colours Details
• G01J 3/28 - Investigating the spectrum

Abstract

The present application relates to a waterproof sealing mechanism of a microphone, and an electronic device. The waterproof sealing mechanism comprises: a device housing (10) provided with sound transmission through holes (115); a module substrate (510), provided with sound pickup holes (515) corresponding to the positions of the sound transmission through holes, and microphones (500) covering the sound pickup holes on the surface of the module substrate facing away from the device housing, so as to form sound transmission channels between the microphones and the sound transmission through holes and running through the sound pickup holes; waterproof sound transmission membranes (550), transversely placed in the sound transmission channels; and a sealing film (520), sealed and stacked between the module substrate and the device housing together with the waterproof sound transmission membranes, the sealing film being provided with sound transmission holes (525), the sound transmission channels being sealed and surrounded by hole walls of the sound transmission holes between the sound pickup holes and the sound transmission through holes, and the sealing film also forming a sealing partition between the device housing and the module substrate.

IPC Classes  ?

• H04R 1/44 - Special adaptations for subaqueous use, e.g. for hydrophone

Abstract

The present application provides a decoding and encoding method, an apparatus, and a device thereof. The decoding method comprises: decoding a code stream corresponding to a current image block to obtain coefficient hyperparametric features; on the basis of the coefficient hyperparametric features, determining probability distribution parameters, and on the basis of the probability distribution parameters, decoding another stream of the current image block to obtain reconstructed features; inputting the reconstructed features into a synthetic transformation network to obtain reconstructed image blocks; wherein the synthetic transformation network comprises an attention module, and the attention module is a cascaded mixed attention module; the cascaded mixed attention module comprises a first attention submodule and a second attention submodule, and the first attention submodule and the second attention submodule are connected in series.

IPC Classes  ?

• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder

Abstract

The present application discloses a coding/decoding method and device, and a storage medium thereof, and belongs to the field of image processing technologies. The method includes: predicting, when a multi-reference line prediction mode is enabled for a current block, the current block based on a target reference line when the current block is predicted according to the multi-reference line prediction mode, wherein the target reference line is determined based on reference line indication information; wherein the reference line indication information is configured to indicate index information of the target reference line used in predicting the current block based on the multi-reference line prediction mode, and the target reference line is one line selected from candidate reference lines, which are three lines and three columns closest to a boundary of the current block, wherein the number of the candidate reference lines corresponding to the multi-reference line prediction mode is 3.

IPC Classes  ?

• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/103 - Selection of coding mode or of prediction mode
• H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/18 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a set of transform coefficients
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

The present application relates to an audio playback apparatus, comprising: a main shell (10), the main shell (10) being provided with an inner cavity (110) and a shell wall surrounding the inner cavity (110), and the shell wall of the main shell (10) being provided with a mounting hole (120) in communication with the inner cavity (110); a loudspeaker assembly (20), the loudspeaker assembly (20) being hermetically mounted in the mounting hole (120); a circuit board assembly (40), the circuit board assembly (40) being located in the hermetically packaged inner cavity (110); and a sound-blocking inner cover (50), the sound-blocking inner cover (50) being located in the inner cavity (110), and the sound-blocking inner cover (50) isolating the circuit board assembly (40) from the loudspeaker assembly (20). The inner cavity (110) comprises a first sub-cavity and a second sub-cavity separated by the sound-blocking inner cover (50), the mounting hole (120) being in communication with the first sub-cavity, the circuit board assembly (40) being hermetically packaged in the second sub-cavity, and the surface of the sound-blocking inner cover (50) facing the first sub-cavity being provided with a sound absorption structure (500).

IPC Classes  ?

• H04R 9/06 - Loudspeakers

Abstract

Encoding and decoding methods and apparatuses, coder-side devices and decoder-side devices are provided, the method includes: obtaining a weighted prediction angle and weight configuration parameters of the current block; where the weight configuration parameters include a weight transform rate and a weight transform start position; configuring reference weight values for surrounding positions outside the current block according to the weight configuration parameters; determining a surrounding matching position to which the pixel position points from the surrounding positions outside the current block based on the weighted prediction angle; determining a target weight value of the pixel position based on the reference weight value associated with the surrounding matching position, determining an association weight value of the pixel position based on the target weight value of the pixel position; determining a first prediction value of the pixel position based on a first prediction mode, determining a second prediction value of the pixel position based on a second prediction mode; determining a weighted prediction value of the pixel position based on the first prediction value, the target weight value, the second prediction value and the association weight value.

IPC Classes  ?

• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/137 - Motion inside a coding unit, e.g. average field, frame or block difference
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

Decoding methods and encoding methods based on an adaptive intra refresh mechanism and related devices are provided. In one aspect, a decoding method includes: receiving a bit stream of a current frame; and determining whether the current frame supports an adaptive intra refresh technology. The determining comprises one of: if there is extension data in the bit stream of the current frame and the extension data carries an adaptive intra refresh video extension identifier (ID), obtaining virtual boundary position information carried in the extension data, and determining whether the current frame supports an adaptive intra refresh technology based on the virtual boundary position information; or if there is no adaptive intra refresh video extension ID in the extension data in the bit stream of the current frame, determining that the current frame does not support the adaptive intra refresh technology.

IPC Classes  ?

• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/107 - Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
• H04N 19/167 - Position within a video image, e.g. region of interest [ROI]

Abstract

Provided is a decoding method, including: acquiring coded data of a current block; determining that a height and a width of the current block are both less than or equal to a preset threshold and the current block is a luma block; acquiring a transform pair index corresponding to the current block from the coded data, and determining the transform pair corresponding to the current block based on the transform pair index, wherein the transform pair comprises a horizontal transform kernel and a vertical transform kernel.

IPC Classes  ?

• H04N 19/12 - Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
• H04N 19/13 - Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/625 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]

Abstract

Provided in the present application are a data processing method and apparatus based on a multi-modal model, and a device and a medium. The method comprises: on the basis of an original input question, determining an initial question feature matching a configured question template; on the basis of the initial question feature, acquiring a plurality of additional question features associated with the initial question feature; generating a plurality of target questions on the basis of the initial question feature and the plurality of additional question features, wherein each target question comprises the initial question feature and at least one additional question feature; for each target question, inputting the target question into a trained multi-modal target model, and the multi-modal target model outputting a candidate answer corresponding to the target question; and on the basis of the candidate answer corresponding to each target question, determining a target answer corresponding to the original input question. By means of the technical solution of the present application, computing resources of a server can be reduced, time overheads can also be reduced, and the target answer corresponding to the original input question can be quickly positioned.

IPC Classes  ?

• G06F 16/9535 - Search customisation based on user profiles and personalisation

Abstract

Methods, apparatuses, devices and storage media for decoding and encoding are provided. In one aspect, a decoding method includes: obtaining a value of an Enhanced Temporal Motion Vector Prediction (ETMVP) mode flag and an ETMVP mode index value for a current coding unit (CU); when the value of the ETMVP mode flag is a first value, determining coordinate information of an initial matching CU of the current CU according to coordinate information of the current CU; constructing an enhanced temporal candidate list based on the coordinate information of the initial matching CU; determining coordinate information of a target matching CU according to the ETMVP mode index value; and determining motion information of a subblock at a corresponding position in the current CU according to the motion information of the target matching CU.

IPC Classes  ?

• H04N 19/52 - Processing of motion vectors by encoding by predictive encoding
• H04N 19/109 - Selection of coding mode or of prediction mode among a plurality of temporal predictive coding modes
• H04N 19/13 - Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Provided in the present application are a decoding method and apparatus, a coding method and apparatus, and devices. The decoding method comprises: decoding a code stream corresponding to the current image block, so as to obtain a coefficient hyper-parameter feature corresponding to the current image block; determining a probability distribution parameter on the basis of the coefficient hyper-parameter feature; on the basis of the probability distribution parameter, decoding a code stream corresponding to the current image block, so as to obtain an initial reconstruction feature corresponding to the current image block; and on the basis of the initial reconstruction feature, determining a target reconstructed image block corresponding to the current image block. By means of the technical solution of the present application, the coding performance and the decoding performance can be improved.

IPC Classes  ?

• H04N 19/136 - Incoming video signal characteristics or properties
• G06N 3/02 - Neural networks

Abstract

The present application provides a decoding method and apparatus, an encoding method and apparatus, a device, and a medium. The decoding method comprises: decoding a first code stream of a current image block to obtain a coefficient hyperparameter feature of each stage sub-block of the current image block; for each stage sub-block, determining a probability distribution parameter on the basis of the coefficient hyperparameter feature of the stage sub-block, and decoding a second code stream of the current image block on the basis of the probability distribution parameter to obtain a residual feature of the stage sub-block; determining a reconstruction feature of the stage sub-block on the basis of the residual feature of the stage sub-block and a mean value feature of the stage sub-block; and on the basis of the reconstruction feature of each stage sub-block, determining a reconstructed image block corresponding to the current image block. By means of the technical solution of the present application, the encoding performance and the decoding performance can be improved.

IPC Classes  ?

• H04N 19/103 - Selection of coding mode or of prediction mode

Abstract

The present application provides an application installation method and apparatus, an electronic device, and a machine readable storage medium. The method comprises: when an operation instruction for an installation package program of a first application is detected and the first application is not installed at present, determining whether a combination installation condition is met; when the combination installation condition is met, installing the first application in the installation path of a second application; and when the combination installation condition is not met, executing a first installation process of the first application. The method can improve the application installation efficiency, and reduce the storage space occupied by application installation.

IPC Classes  ?

• G06F 8/61 - Installation

Abstract

The present invention belongs to the technical field of image processing. Disclosed are an image decoding method and apparatus, an image coding method and apparatus, and a device and a storage medium. The image decoding method of the present application comprises: extracting image residual data or extended residual data from an image code stream, and obtaining a plurality of extended residual groups on the basis of the extracted image residual data or extended residual data; respectively performing residual recovery on the plurality of extended residual groups, so as to obtain an image reconstruction feature corresponding to each extended residual group; performing spatial-domain resolution amplification processing on the image reconstruction feature corresponding to each extended residual group, so as to obtain reconstruction feature data; and performing image reconstruction according to the reconstruction feature data, so as to obtain a reconstructed image block. Since acquired extended residual data is residual data which has been subjected to spatial-domain resolution reduction processing, residual recovery processing performed in groups on the entire group can be implemented at a low resolution, thereby improving the overall residual recovery calculation efficiency, and reducing the time complexity.

IPC Classes  ?

• H04N 19/124 - Quantisation

Abstract

The present application relates to the technical field of image coding, and particularly, to an image reconstruction method and apparatus, a device, and a storage medium. The image reconstruction method comprises: acquiring a quantization parameter and a prediction mode corresponding to a current coding block; adjusting a prediction granularity corresponding to the prediction mode; predicting according to the adjusted prediction granularity to give a predicted sample block; and on the basis of the predicted sample block and the quantization parameter, acquiring a reconstructed sample block.

IPC Classes  ?

• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/124 - Quantisation
• H04N 19/157 - Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter

Abstract

Embodiments of the present application relate to the technical field of video processing, and provide a video storage method and apparatus, and a video playback method, apparatus, and system. The video playback method comprises: acquiring the target event information of a target event from a platform, the target event information comprising a target event identifier, a target linkage video recording mark, and a target device identifier; when the target linkage video recording mark indicates that the target event has a linkage video, sending the target event identifier and the target device identifier to the platform, so that the platform acquires, from a terminal device corresponding to the target device identifier, a video state, a start time, and an end time of a target video file associated with the target event identifier, and sends the acquired video state, start time and end time to a client; and when the acquired video state indicates that video recording is successful, playing back the target video file according to the acquired start time and end time. The use of the technical solution provided by the embodiments of the present application can save the storage space and accurately play back a video file.

IPC Classes  ?

• H04N 5/76 - Television signal recording

Abstract

Embodiments of the present application relate to the technical field of data association, and provide an information processing method, system and apparatus, an electronic device, and a storage medium. The information processing method is applied to an information processing device. The method comprises: in response to receipt of a door event of an access control device, searching for a specified acquisition device associated with the access control device; generating a unique identifier for the door event; generating target access control information containing the unique identifier and information representing the door event; controlling the specified acquisition device to carry out snapshot photography, and recording snapshot picture information containing the unique identifier and real-time processing information representing the snapshot photography; and performing information integration on the target access control information and the snapshot picture information by using the unique identifier to obtain integrated information corresponding to the door event. Hence, for security scenarios of intelligent doors, the present application provides data basis for intelligence of the security field.

IPC Classes  ?

• G07C 9/00 - Individual registration on entry or exit

Abstract

The present disclosure provides a decoding method and apparatus, and a device thereof. The decoding method comprises: decoding a bit stream corresponding to a current image block to obtain a reconstructed image block, wherein the reconstructed image block comprises a first initial component and a second initial component, wherein the resolution of the first initial component is greater than or equal to the resolution of the second initial component; generating an adjusted component corresponding to the second initial component based on the first initial component and the second initial component; performing feature enhancement on the adjusted component to obtain a restored target component corresponding to the second initial component. By the technical solution of the present disclosure, decoding performance can be improved, and decoding complexity can be reduced.

IPC Classes  ?

• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

The present disclosure relates to the technical field of image processing and discloses an image decoding and encoding method and apparatus, a device and a storage medium. In the present disclosure, feature channel distinguishing information and/or spatial point distinguishing information are obtained, and image code streams are decoded to obtain quantized residual values; an inverse quantization precision parameter value is set for each quantized residual value according to the feature channel distinguishing information and/or the spatial point distinguishing information; inverse quantization is performed on the quantization residual values according to the inverse quantization precision parameter values to obtain reconstructed residual values; synthetic transformation is performed on the reconstructed residual values to obtain a reconstructed image block. Since corresponding inverse quantization precision parameter values are constructed based on the feature channel distinguishing information and/or the spatial point distinguishing information for inverse quantization, during the encoding process, different quantization parameter values can also be set according to the different feature channels and spatial point image textures, such that more important features are subject to smaller quantization losses, which improves the performance of encoding and decoding.

IPC Classes  ?

• H04N 19/124 - Quantisation
• G06N 3/02 - Neural networks

Abstract

The present application provides a camera, comprising a lens assembly (11), a mounting adapter structure (12) and a base assembly (13). The mounting adapter structure comprises an adapter body (14) and a snap-fitting structure (16) arranged on the adapter body. The lens assembly is mounted on the base assembly. The base assembly is detachably mounted on the mounting adapter structure. The base assembly comprises a base body (17) and a snap-fit structure (19) movably arranged on the base body. The snap-fitting structure is arranged on the side of the adapter body facing the base assembly. When the snap-fitting structure pushes against the snap-fit structure, the snap-fit structure is moved until the snap-fit structure is snap-fitted to the snap-fitting structure, so that the base assembly is assembled on the mounting adapter structure. When pressed, the snap-fit structure is separated from the snap-fitting structure, so that the base assembly is separated from the mounting adapter structure.

IPC Classes  ?

• H04N 23/50 - Constructional details
• H04N 23/55 - Optical parts specially adapted for electronic image sensorsMounting thereof
• F16M 11/16 - Details concerning attachment of head-supporting legs, with or without actuation of locking members therefor
• F16M 13/02 - Other supports for positioning apparatus or articlesMeans for steadying hand-held apparatus or articles for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle

Goods & Services

(1) Security cameras, cameras for inspecting underground infrastructures, video cameras, web cameras; 360-degree camcorders, camcorders, digital camcorders; wireless security cameras, wireless video cameras; video recorders; audio monitors, computer monitors, touch screen monitors; software for accessing, browsing, retrieving images and searching downloadable audio and video files available from a platform of network video recorders; computer software recorder for search engine services; computer software for accessing, browsing, retrieving images, and searching downloaded audio and video files from a platform of network video recorder and the internet; computer software recorded for use in facial recognition and data analysis in genetic disorders; downloadable audio and video files containing images; remote video monitoring system consisting primarily of a camera and video monitor for recording and transmitting images to a remote location; audio- and video-receivers; computing hardware consisting of tactile and touch screens, central processing units and cameras; camera sensors; computer application software for mobile phones and other wireless devices, namely, software for viewing, monitoring, and analyzing video streams and to receive alert notifications; downloadable computer software for operating smart home hubs for connecting, integrating and controlling networked consumer electronic devices, home devices and temperature controls via a wireless computer network (1) Image retrieval and searching downloadable audio and video files available from a platform of network video recorders; maintenance and installation of computer software for images retrieval; consulting services in the field of software as a service (saas); software systems integration engineering, software testing engineering services, computer software engineering services, software design engineering services; technological research in the field of computer hardware systems; advice on designing, selecting, and using computer hardware and systems; computer software advisory services, computer software and hardware project management services for data centers, computer software programming services, computer software system design, computer systems design services for others; software as a service (SAAS) provider for hosting software for use by others for use in the online publishing of websites, development of computer software, providing information in the field of computer software development; installation, maintenance and repair of computer networking software; installation, updating and maintenance of computer software; maintaining computer software applications of others; maintenance, repair and updating of computer software and computer software applications; research and development of new products for others; computer software consultancy

Goods & Services

(1) Assembly brackets for computer hardware; Storage cards; Electronic interactive whiteboards; Interactive touchscreen terminals; Network servers; Computer software platforms, recorded or downloadable; Computer programs (downloadable software); Computer programs for virtual reality systems (downloadable software); Computer software used to establish, promote, and manage secure remote access and communication for remote computers, regional networks, virtual private networks, wide area networks, and global computer networks (recorded); Computer software providing virtualization technology (recorded); Computer software, recorded; Computer programs, recorded; Computer memory devices; Digital audio signal processors; Central Processing Units (CPU) for information, data, sounds and images processing; Downloadable mobile applications; Central Processing Units (CPU); Video displays; Microprocessors; Data processing apparatus; Automatic cash registers; Face recognition equipment; Devices for checking work attendance; Network communication equipment; Telephone terminal equipment; Conference telephones; Switchboards; Microphones; Wireless speakers; Audio- and video-receivers; Video signal receivers; Wearable video display monitors; Head-mounted video displays; Video recorders; Portable media players; Cameras; Security surveillance robots; Video processors; Video projectors; Enlarging apparatus [photography]; Remote control apparatus; LED screens; Liquid crystal displays (LCD); Electronic chips; Video screens; Touch screens; Transducers; Motion recognition sensors; Alarms; Eyeglasses; Recorded computer software, namely, for file browsing, editing, e-book writing, system setting, screen sharing, and meeting (1) Rental of message sending apparatus; Information transfer through video communication systems; Information transfer of sound, videos and messages; Teleconferencing services; Video conferencing services; Teleconferencing and video conferencing services; Audio teleconference services; Providing video conferencing services; Communications by computer terminals; Providing instant message transmission services; Transmission of digital files, data, images, sound, files, audio, video, audio-visual content and other data; Providing user access to global computer networks

Abstract

Decoding methods and apparatuses, coding methods and apparatuses, devices and machine-readable storage media are provided. In an example of the decoding method, for a received bitstream, by parsing a motion information index value of a skip mode or a direct mode of a current coding unit, a candidate list of the skip mode or the direct mode may be constructed, and determining a prediction mode of the current coding unit, thus, motion compensation can be performed on the current coding unit according to motion information of the current coding unit acquired from the prediction mode of the current coding unit. The motion information index value of the skip mode or the direct mode of the current coding unit is obtained by parsing according to the number of motion vector angle prediction candidate motion information and the number of inter-prediction candidate historical motion vector prediction information.

IPC Classes  ?

• H04N 19/51 - Motion estimation or motion compensation
• H04N 19/103 - Selection of coding mode or of prediction mode
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards