A method, a system, and medium for data transmission may be provided. The method may be performed by a data transmission system including a first computing device. The first computing device may include a first processing device and a first storage device being integrated in a first terminal device. The method may include obtaining, by the first processing device, an audio signal acquired by the first terminal device; obtaining, by the first processing device, a video signal from by a second terminal device; determining, by the first processing device, a modulated audio signal by modulating the audio signal; determining, by the first processing device, audio and video mixing data by coupling the modulated audio signal and the video signal; and sending, by the first processing device, the audio and video mixing data to the second terminal device.
H04N 21/43 - Traitement de contenu ou données additionnelles, p. ex. démultiplexage de données additionnelles d'un flux vidéo numériqueOpérations élémentaires de client, p. ex. surveillance du réseau domestique ou synchronisation de l'horloge du décodeurIntergiciel de client
2.
METHODS, SYSTEMS, AND STORAGE MEDIA FOR DATA STORAGE
A data storage method is provided. The method includes generating a plurality of data blocks based on data to be stored and determining a target storage layer for the plurality of data blocks in a storage pool of at least one storage device. The storage pool has a multi-layer architecture including a plurality of storage layers. Each of the plurality of storage layers in the storage pool corresponds to a plurality of storage units, each storage unit in each storage layer contains a plurality of storage units in a next storage layer of the storage layer. The target storage layer is a storage layer in the storage pool that satisfies a first preset condition. The method further includes determining a plurality of target storage units from the storage pool based on the target storage layer and storing the plurality of data blocks based on the plurality of target storage units.
The present disclosure provides a system and a method for image processing. The system may include at least one storage device including a set of instructions; and at least one processor is in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to cause the system to perform operations, including: obtaining an image including a plurality of processed blocks and at least one block to be processed; for a block to be processed among the at least one block to be processed, determining at least two candidate blocks among the plurality of processed blocks; and determining a predicted value corresponding to the block to be processed based on the at least two candidate blocks.
H04N 19/105 - Sélection de l’unité de référence pour la prédiction dans un mode de codage ou de prédiction choisi, p. ex. choix adaptatif de la position et du nombre de pixels utilisés pour la prédiction
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
09 - Appareils et instruments scientifiques et électriques
Produits et services
Camcorders; Cameras [photography]; Facial recognition apparatus; Video recorders; Electronic monitoring instruments, other than for medical use; Video display screens; Video camcorders; Surveillance cameras; Multipurpose cameras; Infrared cameras; Security cameras; Digital video cameras; Video cameras; Video surveillance cameras; Digital video recorders.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Computer software, recorded; monitors [computer hardware];
computer peripheral devices; transponders; video recorders;
camcorders; electronic monitoring apparatus, other than for
medical purposes; audio- and video-receivers; chips
[integrated circuits].
The present disclosure relates to systems and methods for monitoring control. The systems may obtain monitoring images associated with a monitoring region captured by a monitoring device, determine whether a target event occurs in the monitoring region based on the monitoring images. In response to determining that the target event occurs in the monitoring region, the systems may determine a target time period associated with operations of a warning light associated with the monitoring device based on the end exposure time of the last exposure row corresponding to the frame and the start exposure time of the first exposure row corresponding to the next frame. The systems may control the operations of the warning light based on the target time period. The systems may determine a target blanking region, adjust waiting time of the monitoring device or determine adjustment parameters of the monitoring device based on the target blanking region.
G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
H04N 23/745 - Détection de la fréquence de scintillement ou suppression du scintillement, le scintillement étant causé par l'éclairage, p. ex. par l'éclairage d'un tube fluorescent ou d'une LED pulsée
A cargo fixation device, comprising a first pallet (100), the first pallet including a support portion (120) and a support plate (110), the support portion being disposed around the support plate, the support plate includes a support surface (111), and the first pallet includes a first state and a second state, the support surface and a top surface of the support portion are on a same level when the support surface is in the first state; and the support surface is lower than the top surface of the support portion and the support surface forms an accommodation cavity with the support portion when the first pallet is in the second state.
B65D 5/20 - Réceptacles de section transversale polygonale rigides ou semi-rigides, p. ex. boîtes, cartons ou plateaux, formés en pliant ou montant un ou plusieurs flans de papier en repliant les parties reliées à un panneau central sur chaque côté pour former le corps du réceptacle, p. ex. en forme de plateau
B65D 5/44 - Parties insérées dans le réceptacle, qui en font partie intégrante ou qui lui sont fixées pour former des garnitures intérieures ou extérieures
B65D 5/00 - Réceptacles de section transversale polygonale rigides ou semi-rigides, p. ex. boîtes, cartons ou plateaux, formés en pliant ou montant un ou plusieurs flans de papier
Embodiments of the present disclosure provide a method, system, and storage medium for bitrate control of a video encoding system including a plurality of encoding channels. The method comprises obtaining a total reference bitrate of the plurality of the encoding channels of the video encoding system; determining a complexity degree of an image frame obtained by each encoding channel of the plurality of encoding channels at a first time; determining, according to the total reference bitrate and the complexity degree of the image frame obtained by each of the plurality of encoding channels, a target bitrate of each of at least a portion of the plurality of encoding channels at a second time, wherein a deviation between a total target bitrate of the plurality of encoding channels and the total reference bitrate satisfies a condition.
A storing data method is provided. The method includes obtaining a candidate storage space corresponding to data to be stored. The candidate storage space is divided into a plurality of stripes, and each stripe of the plurality of strips includes a preset count of storage regions. The preset count of storage regions are sequentially arranged in the stripe and have corresponding sorting positions, and storage regions having a same sorting position in the plurality of stripes are a storage unit. The method includes determining at least one target stripe corresponding to the data to be stored from the plurality of stripes and generating storage instructions corresponding to the data to be stored. Each storage unit in the at least one target stripe corresponds to one storage instruction. The method further includes writing, based on the storage instructions, the data to be stored to storage units corresponding to the storage instructions.
The embodiments of the present disclosure provide a distributed storage system and a method thereof. The system includes a client, a management node, and at least one storage node, wherein: the management node is configured to determine at least one first storage node from the at least one storage node in response to a data storage request of storing target data sent by the client; and each of the at least one storage node is configured to write the target data sent by the client to a target storage area of a storage device corresponding to the storage node in response to a data write request when the storage node is determined to be the first storage node.
Embodiments of the present disclosure provide a method and a device for query control of a database, and a storage medium. The method is implemented on at least one machine, each of which has at least one processor and a storage device for query control based on the database. The method includes: creating a plurality of resource sub-groups under at least one resource group of the database, wherein the at least one resource group is associated with a user, and at least two of the plurality of resource sub-groups have different control strategies for database resources; determining an execution sub-group based on one or more instructions in a query instance, the execution sub-group being a resource sub-group of the plurality of resource sub-groups corresponding to the query instance; and controlling, based on a control strategy of the execution sub-group, a resource usage of the database when the query instance is executed.
Some embodiments of the present disclosure provide methods and systems for querying sharded NoSQL data. The method may include obtaining an index setting and an associated field; determining routing values based on the associated field; establishing an index group including a plurality of indexes, at least a portion of the plurality of indexes having the associated field; dividing each of the plurality of indexes into a plurality of shards based on the index setting and the routing values; obtaining an association query request based on the associated field; and in response to receiving the association query request, determining a query result based on the plurality of shards.
Embodiments of the present disclosure provide a multimodal operator framework, a method, system, and storage medium for data processing. The operator framework for multimodality comprises: a source operator, a processing operator, and an output operator, the source operator being configured to obtain initial multimodal data in a multimodal data table and input the initial multimodal data into the processing operator; the processing operator is configured to process the initial multimodal data and send a processing result to the output operator; the output operator is configured to send the processing result to the multimodal data table. The data processing method comprises: obtaining a multimodal data table, inputting the multimodal data table into a multimodal operator framework to process the data to obtain a processing result.
The present disclosure relates to a system for image processing. The system obtains an image, multiple historical images captured before the image, and multiple scene categories. For each scene category, the system generates a confidence level of the image belonging to the scene category. The system obtains an initial scene category of each historical image. The system determines a target scene category to which the multiple historical images belong based on initial scene categories of the multiple historical images. The system determines multiple updated confidence level thresholds by updating, based on the target scene category, at least a portion of multiple confidence level thresholds corresponding to the multiple scene categories. The system determines, based on the multiple updated confidence level thresholds and confidence levels of the image corresponding to the multiple scene categories, a final scene category of the image, and processes the image based on the final scene category.
G06V 20/00 - ScènesÉléments spécifiques à la scène
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
15.
METHODS, SYSTEMS, AND STORAGE MEDIUMS FOR VIDEO ENCODING AND DECODING
The embodiments of the present disclosure provide a method, system, and readable medium for video encoding. The method may include: obtaining current template reconstruction data, the current template reconstruction data including reconstruction pixel data of a current template region in a current frame related to a current encoding block; obtaining reference template reconstruction data, the reference template reconstruction data including reconstruction pixel data of a reference template region in a reference frame related to a reference encoding block, the current template region corresponding to the reference template region; obtaining a prediction value adjustment model of the current encoding block based on the current template reconstruction data and the reference template reconstruction data; obtaining an initial prediction value of the current encoding block; determining a target prediction value by adjusting, based on the initial prediction value, the initial prediction value according to the prediction value adjustment model; and determining encoding data of the current encoding block based on the target prediction value.
H04N 19/105 - Sélection de l’unité de référence pour la prédiction dans un mode de codage ou de prédiction choisi, p. ex. choix adaptatif de la position et du nombre de pixels utilisés pour la prédiction
H04N 19/182 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant un pixel
16.
VEHICLE LICENSE PLATE RECOGNITION METHOD, DEVICE, TERMINAL AND COMPUTER-READABLE STORAGE MEDIUM
A vehicle license plate recognition method includes: performing the vehicle license plate recognition on the obtained fisheye image to obtain the vehicle plate region; in response to the vehicle license plate region being in the non-reference direction, enlarging the vehicle license plate region based on all pixels of the vehicle license plate region to obtain the deformed image of the vehicle license plate; the resolution of the deformed image of the vehicle license plate being higher than the resolution of the vehicle license plate region; reference direction correction is performed on the deformed image of the vehicle license plate to obtain the to-be-detected image; and recognizing the to-be-detected image to obtain the output character corresponding to the vehicle license plate region.
G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/72 - Préparation de données, p. ex. prétraitement statistique des caractéristiques d’images ou de vidéos
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/778 - Apprentissage de profils actif, p. ex. apprentissage en ligne des caractéristiques d’images ou de vidéos
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
G06V 30/146 - Alignement ou centrage du capteur d’image ou du champ d’image
G06V 30/19 - Reconnaissance utilisant des moyens électroniques
The present disclosure relates to the field of wireless communication technology, in particular to methods and devices for information transmission. The method may include operations. A transmission request for requesting a node to perform remote information transmission may be received and whether a node identification in the transmission request matches a preset identification may be determined through a first type of node. In response to determining that the node identification in the transmission request matches the preset identification, the transmission request may be processed through the first type of node. In response to determining that the node identification in the transmission request doesn't match the preset identification, the transmission request may be forwarded to a second type of node through the first type of node, and the transmission request may be processed through the second type of node.
H04W 52/36 - Commande de puissance d'émission [TPC Transmission power control] utilisant les limitations de la quantité totale de puissance d'émission disponible avec une plage ou un ensemble discrets de valeurs, p. ex. incrément, variation graduelle ou décalages
The present disclosure discloses a method and system for producing a panoramic image. The method may include obtaining a plurality of images to be stitched by multiple imaging; determining a target image to be stitched from the plurality of images to be stitched; determining a stitch sequence of the plurality of images to be stitched, wherein the target image to be stitched is placed at a preset stitch position and an adjacence relationship of the plurality of images to be stitched in the stitch sequence corresponds to an adjacence relationship of the multiple imaging; and obtaining the panoramic image by stitching the plurality of images to be stitched according to the stitch sequence.
111M212N2N) that extend along the first direction and arranged side by side along the second direction. The first image sensor and the second image sensor may be arranged side by side along the second direction with the 1st2121 of the second image sensor being adjacent to the Mth1M1M of the first image sensor.
H04N 23/951 - Systèmes de photographie numérique, p. ex. systèmes d'imagerie par champ lumineux en utilisant plusieurs images pour influencer la résolution, la fréquence d'images ou le rapport de cadre
H04N 23/698 - Commande des caméras ou des modules de caméras pour obtenir un champ de vision élargi, p. ex. pour la capture d'images panoramiques
The present disclosure provides a system and method for image adjustment. The method may include determining information of a black block based on pixel parameters of image blocks in a captured frame of a camera, the image blocks being determined based on pre-dividing the captured frame; determining a state of the camera based on the information of the black block, the state being one of a normal operation state, a partial masking state, or a full-masking state; and adjusting a shooting parameter of the camera based on the state of the camera.
A video processing method and an electronic device are provided. The method includes: obtaining a to-be-processed video sequence; resampling at least one picture of the to-be-processed video sequence, and encoding the at least one picture based on a quantization parameter after resampling; the quantization parameter after resampling is obtained by offsetting a quantization parameter before resampling based on an offset value of quantization parameters of the to-be-processed video sequence, and each resampled picture is encoded to obtain an encoded picture; and performing a picture resolution reconstruction on the encoded picture as an input picture to generate an output picture; the output picture has a resolution higher than a resolution of the input picture.
G06T 3/4046 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement utilisant des réseaux neuronaux
G06T 3/4053 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement basé sur la super-résolution, c.-à-d. où la résolution de l’image obtenue est plus élevée que la résolution du capteur
The present disclosure provides a method and a system for image generation. The method may include: obtaining an initial image, the initial image being an image generated by a generator and including a specified target; determining, in the initial image, a partial image of the specified target; generating a fusion image including the specified target by performing an image fusion based on a background image and the partial image of the specified target; and generating a target sample image based on the fusion image.
Some embodiments of the present disclosure provide a method for video acquisition. The method may be implemented by a computing device including at least one processor and a storage device, and the method may include: obtaining a first exposure parameter corresponding to a first image frame acquired by a video acquisition device; obtaining a second exposure parameter used by the video acquisition device to acquire a second image frame, wherein the second exposure parameter is smaller than the first exposure parameter; adjusting an exposure parameter of the video acquisition device from the second exposure parameter to a target exposure parameter by adjusting an exposure parameter lower limit of the video acquisition device, wherein the target exposure parameter matches the first exposure parameter; and causing, based on the target exposure parameter, the video acquisition device to acquire a target image frame.
H04N 23/71 - Circuits d'évaluation de la variation de luminosité
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
H04N 23/745 - Détection de la fréquence de scintillement ou suppression du scintillement, le scintillement étant causé par l'éclairage, p. ex. par l'éclairage d'un tube fluorescent ou d'une LED pulsée
H04N 23/81 - Chaînes de traitement de la caméraLeurs composants pour supprimer ou minimiser les perturbations lors de la génération de signaux d'image
A method and system for image acquisition may be provided. A first exposure duration of a first image sensor and a second exposure duration of each of at least one second image sensor may be obtained. For each second image sensor, a synchronization time difference between the first image sensor and the second image sensor may be determined based on an exposure duration difference between the first exposure duration and the second exposure duration of the second image sensor, and first image data and second image data from the first image sensor and the second image sensor may be acquired by sending synchronizing signals to the first image sensor and the second image sensor based on the synchronization time difference. A target image of the target scene may be generated based on the first image data and the second image data of each second image sensor.
H04N 25/581 - Commande de la gamme dynamique impliquant plusieurs expositions acquises simultanément
H04N 25/62 - Détection ou réduction du bruit dû aux charges excessives produites par l'exposition, p. ex. les bavures, les éblouissements, les images fantômes, la diaphonie ou les fuites entre les pixels
Embodiments of the present disclosure provide a method, a system, and an electronic device for correcting a bright-dark line on a screen, the method comprising: obtaining a screen image of a screen, determining, based on a preset detection process, a mask image corresponding to a screen outline on the screen image, determining a correction coefficient of the bright-dark line on the screen and correcting the bright-dark line on the screen based on the correction coefficient.
G09G 3/32 - Dispositions ou circuits de commande présentant un intérêt uniquement pour l'affichage utilisant des moyens de visualisation autres que les tubes à rayons cathodiques pour la présentation d'un ensemble de plusieurs caractères, p. ex. d'une page, en composant l'ensemble par combinaison d'éléments individuels disposés en matrice utilisant des sources lumineuses commandées utilisant des panneaux électroluminescents semi-conducteurs, p. ex. utilisant des diodes électroluminescentes [LED]
The present disclosure provides resource management systems and methods thereof. The resource management systems may include a plurality of worker nodes and a master node communicatively connected to the plurality of worker nodes. Each of one or more candidate worker nodes of the plurality of worker nodes may include both computing resources and storage resources. The master node may include a first scheduler and a second scheduler. The first scheduler may be configured to allocate at least part of the computing resources of the one or more candidate worker nodes for a scheduling task, and the second scheduler may be configured to schedule at least part of the storage resources of the one or more candidate worker nodes for the scheduling task.
The present disclosure provides methods and systems for application deployment. The methods may include obtaining a first application packet to be deployed; determining a first dependency relationship described in the first application packet, wherein the first dependency relationship indicates one or more second application packets that the first application packet depends on; and deploying the one or more second application packets and the first application packet according to the first dependency relationship.
A power surge protection circuit may include a first surge protection module, a second surge protection module, and a third surge protection module. The first surge protection module may be configured to cooperate with the second surge protection module to discharge the energy of a first surge generated between a positive input end of a power supply and a ground end and cooperate with the third surge protection module to discharge the energy of a second surge generated between a negative input end of the power supply and the ground end. The second surge protection module may be configured to cooperate with the third surge protection module to discharge the energy of a third surge generated between the positive input end of the power supply and the negative input end of the power supply and generate a residual voltage.
H02M 1/32 - Moyens pour protéger les convertisseurs autrement que par mise hors circuit automatique
H02M 1/12 - Dispositions de réduction des harmoniques d'une entrée ou d'une sortie en courant alternatif
H02H 7/12 - Circuits de protection de sécurité spécialement adaptés aux machines ou aux appareils électriques de types particuliers ou pour la protection sectionnelle de systèmes de câble ou de ligne, et effectuant une commutation automatique dans le cas d'un changement indésirable des conditions normales de travail pour convertisseursCircuits de protection de sécurité spécialement adaptés aux machines ou aux appareils électriques de types particuliers ou pour la protection sectionnelle de systèmes de câble ou de ligne, et effectuant une commutation automatique dans le cas d'un changement indésirable des conditions normales de travail pour redresseurs pour convertisseurs ou redresseurs statiques
Embodiments of the present disclosure provides a method and a system for data query. The method may include obtaining a query request; determining a first query condition based on the query request; obtaining a field query result relating to a connection field by querying, based on the first query condition, in a full-text retrieval system, wherein the full-text retrieval system may store one or more indexes; determining a second query condition based on the field query result; and obtaining a target query result by querying, based on the second query condition, in a target type database, wherein the target type database may store one or more target type data tables, and the one or more indexes may be associated with data in the one or more target type data tables via the connection field.
The embodiments of the present disclosure provide a method for correcting positioning deviation. The method may include: obtaining geographic position information of at least two geographic reference points; for each of the at least two geographic reference points, obtaining a reference image of the geographic reference point collected by a capture device, wherein the reference image includes image position information of an image reference point corresponding to the geographic reference point; and determining deviation information of the capture device based on the geographic position information and the image position information corresponding to the at least two geographic reference points.
The present disclosure provides a method and a device for image acquisition. The method includes: in response to a first acquisition instruction, obtaining at least one image of interior of a vehicle through a filter under a condition of irradiation of an infrared xenon lamp, wherein the filter includes an infrared band-pass characteristic.
H04N 23/23 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande pour générer des signaux d'image uniquement à partir d'un rayonnement infrarouge à partir du rayonnement infrarouge thermique
36.
METHODS AND SYSTEMS FOR PREPARING A HEATER, A CONDUCTIVE FILM, AND A COMPOSITE GLASS THEREOF
The embodiments of the present disclosure provide a method and system for preparing a heater. The method may include obtaining a first plate including at least two contacts arranged on a surface of the first plate; obtaining a second plate including a conductive film and at least two electrodes arranged on the conductive film; connecting the first plate and the second plate, wherein the contact surface of the first plate may be adhered to the conductive film, and the at least two electrodes may be connected with the at least two contacts and conducted with an external power-on supply to obtain the heater.
Systems and methods for data storage in a storage device are provided in the present disclosure. The method may include dividing the storage device into a recording region and a shingled magnetic recording (SMR) region. The SMR region may be configured to store data, and the recording region may be configured to store storage information associated with the storage device. The storage information may include at least a corresponding relationship between an index of the data and a storage location of the data. The method may also include obtaining target data to be stored. The method may further include determining, based on the target data and the storage information, a target position in the SMR region for storing the target data.
The present disclosure provides methods, systems, devices, and media for data processing. The method may include obtaining information of one or more hard disks of each of one or more data nodes, the information of the one or more hard disks at least including type information, capacity information, and location information of each of the one or more hard disks; determining, based on a data processing instruction and the information of the one or more hard disks, target information of a target hard disk among the one or more hard disks; and transmitting the data processing instruction including the target information of the target hard disk to a target data node corresponding to the target hard disk.
The present disclosure provides systems and methods for image filtering. The method may include obtaining an initial image block from a reconstructed image; determining at least one candidate image block by performing a filtering operation on the initial image block using at least one trained machine learning model; and determining a target image block based on the at least one candidate image block.
H04N 19/117 - Filtres, p. ex. pour le pré-traitement ou le post-traitement
G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
H04N 19/186 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une couleur ou une composante de chrominance
H04N 19/59 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre un sous-échantillonnage spatial ou une interpolation spatiale, p. ex. modification de la taille de l’image ou de la résolution
H04N 19/70 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques caractérisés par des aspects de syntaxe liés au codage vidéo, p. ex. liés aux standards de compression
H04N 19/80 - Détails des opérations de filtrage spécialement adaptées à la compression vidéo, p. ex. pour l'interpolation de pixels
09 - Appareils et instruments scientifiques et électriques
Produits et services
Camcorders; Encoders; All-in-one PCs; Bellows for cameras; Body cameras; Camera containing a linear image sensor; Camera filters; Camera flashes; Camera hoods; Camera shutters; Cameras; Charging stations for electric vehicles; Computer cases; Computer keyboard controllers; Computer keyboards; Computer monitors; Computer mouse; Desktop computers; Downloadable software for pushing multimedia contents to various digital signages for synchronizing information and guiding users, managing and controling wall-mounted devices and TV walls, screen casting, screen mirroring; Electric audio playback units with lights and speakers; Electric cables for the transmission of sounds and images; Electric wires and cables; Electronic displays, namely, digital signage; Encoding and decoding apparatus and instruments; LCD large-screen displays; Light emitting diode (LED) displays; Tablet computers; Televisions and monitors; Video recorders; Wireless controllers to monitor and control the functioning of other electronic devices; Cinematographic cameras; Game cameras; Infrared cameras; Motion-activated cameras; Multiframe view cameras; Photographic cameras for the instant production of pictures; Rearview cameras for vehicles; Thermal imaging cameras
41.
MAGNETIC COMPOSITE MATERIALS, METHODS OF PREPARING MAGNETIC COMPOSITE MATERIALS, AND ELECTRONIC DEVICES
Embodiments of the present disclosure may provide a magnetic composite material, a method of preparing a magnetic composite material, and an electronic device including the magnetic composite material. The magnetic composite material may comprise a carbon nanomaterial cluster and nano metal sulfide. The carbon nanomaterial cluster may include a plurality of carbon nanomaterial units. The nano metal sulfide may be mixed into the carbon nanomaterial cluster. The nano metal sulfide may include nano tungsten disulfide and/or nano zinc sulfide, and one of the plurality of carbon nanomaterial units may include nano carbon crystal and/or nano graphene.
A system (100) and method for determining a hand-drawn graphic are provided. The method may include obtaining one or more hand-drawn strokes inputted into a drawing region (310), and in response to determining that an input termination condition is satisfied, determining a hand-drawn graphic corresponding to the one or more hand-drawn strokes (320).
G06F 3/04883 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels pour l’entrée de données par calligraphie, p. ex. sous forme de gestes ou de texte
G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
computer software, recorded; computer software platforms, recorded or downloadable; computer programs [downloadable software]; operating system programs; rechargeable batteries; electric car charging piles; battery charging equipment; charging stations for electric vehicles; electric charging cables; electric battery chargers; camcorders; cameras; radios; card reading equipment; portable power chargers; point of sale apparatus; cable connectors; electric power converters; current converters. technological research; industrial design; cloud computing; platform as a service [PaaS]; electronic data storage; cloud storage services for electronic files; design and development of computer hardware and software; software development; software as a service [SaaS]; providing virtual computer systems through cloud computing; online data storage; installation, maintenance and repair of computer software.
A method for determining a target event may be provided. The method may include obtaining a first image including a first subject and information related to the first subject. The method may include determining a second image including the first subject based on the first image and the information related to the first subject. The second image may be captured no later than the first image. The method may also include determining a third image including a second subject based on the second image. The first subject may be associated with the second subject. The method may also include determining a background image which does not include the first subject. The method may further include determining a target event based on the background image, the second image, and the third image.
G06V 20/54 - Trafic, p. ex. de voitures sur la route, de trains ou de bateaux
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
G06V 10/98 - Détection ou correction d’erreurs, p. ex. en effectuant une deuxième exploration du motif ou par intervention humaineÉvaluation de la qualité des motifs acquis
The present disclosure provides a system and a method for image processing. The system may include at least one storage device including a set of instructions; and at least one processor is in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to cause the system to perform operations, including: obtaining an image including a plurality of processed blocks and at least one block to be processed; for a block to be processed among the at least one block to be processed, determining at least two candidate blocks among the plurality of processed blocks; and determining a predicted value corresponding to the block to be processed based on the at least two candidate blocks.
H04N 19/159 - Type de prédiction, p. ex. prédiction intra-trame, inter-trame ou de trame bidirectionnelle
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
Embodiments of the present disclosure disclose a system for processing an image. The system comprises at least one storage device including a set of instructions; and at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including: obtaining an image; obtaining a first image feature by performing a feature extraction operation on the image; obtaining a down-sampled image by down-sampling the image; obtaining a second image feature by performing a feature extraction operation on the down-sampled image; obtaining, based on the first image feature and the second image feature, a target feature; and performing a segmentation operation on the image based on the target feature.
The present disclosure provide methods, systems, and non-transitory computer readable media for target tracking. The method may include determining, based on multiple first historical images acquired by a bullet camera, a plurality of historical monitoring positions of a dome camera with respect to a target object（210）; determining, based on multiple second historical images acquired by the dome camera, a first motion trajectory of the target object（220）; determining, based on the first motion trajectory, a predicted position associated with the target object（230）; in response to determining that a first difference between the predicted position associated with the target object and an actual position associated with the target object satisfies a preset condition, controlling the dome camera to track the target object（240）.
The present disclosure relates to systems and methods for video analysis. The systems may obtain a video stream. For each of a plurality of frames in the video stream, the systems may determine a reference score corresponding to the frame based on a spatiotemporal feature of the frame. The spatiotemporal feature of the frame may associate a feature of the frame with a feature of at least one adjacent frame of the frame. The systems may determine, from the plurality of frames in the video stream, one or more target frames based on reference scores corresponding to the plurality of frames.
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
computer software, recorded; computer software platforms, recorded or downloadable; computer programs [downloadable software]; operating system programs; rechargeable batteries; electric car charging piles; battery charging equipment; charging stations for electric vehicles; electric charging cables; electric battery chargers; camcorders; cameras; radios; card reading equipment; portable power chargers; point of sale apparatus; cable connectors; electric power converters; current converters. technological research; industrial design; cloud computing; platform as a service [PaaS]; electronic data storage; cloud storage services for electronic files; design and development of computer hardware and software; software development; software as a service [SaaS]; providing virtual computer systems through cloud computing; online data storage; installation, maintenance and repair of computer software.
50.
SYSTEMS AND METHODS FOR INTER FRAME PREDICTION OF A VIDEO
The present disclosure may relate to systems and methods for inter frame prediction of a video. A method may include setting, based on a block to be predicted of an image frame, a search template. The method may also include searching for, based on a search strategy, an optimal search block of the search template in a reference frame of the image frame. The method may further include determining, based on the optimal search block, prediction information of the block to be predicted.
H04N 19/587 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre un sous-échantillonnage ou une interpolation temporels, p. ex. décimation ou interpolation subséquente d’images dans une séquence vidéo
H04N 19/159 - Type de prédiction, p. ex. prédiction intra-trame, inter-trame ou de trame bidirectionnelle
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
H04N 19/182 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant un pixel
H04N 19/52 - Traitement de vecteurs de mouvement par encodage par encodage prédictif
The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.
H04N 23/83 - Chaînes de traitement de la caméraLeurs composants pour commander la réponse de la caméra indépendamment de la luminosité de la scène, p. ex. correction de gamma spécialement adaptées aux signaux de couleur
H04N 23/85 - Chaînes de traitement de la caméraLeurs composants pour le traitement de signaux de couleur pour le matriçage
52.
DISTRIBUTED STORAGE SYSTEMS AND METHODS THEREOF, DEVICE AND STORAGE MEDIUM
A distributed storage system and a method thereof. The system includes a client (210), a management node (220), and at least one storage node (230), wherein: the management node (220) is configured to determine at least one first storage node from the at least one storage node (230) in response to a data storage request of storing target data sent by the client; and each of the at least one storage node (230) is configured to write the target data sent by the client (210) to a target storage area of a storage device corresponding to the storage node (220) in response to a data write request when the storage node (220) is determined to be the first storage node.
Embodiments of the present disclosure provide a scanning method of a laser radar. The laser radar includes a galvanometer. The scanning method includes determining a scanning parameter in response to a scanning instruction. The scanning parameter includes a galvanometer drive waveform. The scanning method includes obtaining forward scanning data and inverse scanning data by performing a forward scanning and an inverse scanning based on the scanning parameter. The forward scanning data includes scanning data obtained in an outbound interval of the galvanometer drive waveform, and the inverse scanning data includes scanning data obtained in a return interval of the galvanometer drive waveform. The scanning method further includes determining target scanning data based on the forward scanning data and the inverse scanning data.
A method and a system for querying sharded NoSQL data,the method may include obtaining an index setting and an associated field; determining routing values based on the associated field; establishing an index group including a plurality of indexes, at least a portion of the plurality of indexes having the associated field;dividing each of the plurality of indexes into a plurality of shards based on the index setting and the routing values; obtaining an association query request based on the associated field; and in response to receiving the association query request, determining a query result based on the plurality of shards.
A license plate classification method, a license plate classification apparatus and a computer-readable storage medium are provided. The method includes: performing a license plate recognition process on a first license plate image to obtain a license plate recognition result; performing an encoding process on the license plate recognition result to obtain a first license plate feature; performing a feature extraction process on the first license plate image to obtain a second license plate feature; and processing the first license plate feature and the second license plate feature through a classification network to obtain a first license plate classification result. In this way, an accuracy of license plate classification is improved.
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
56.
METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR RECOMMENDING DOWNSTREAM OPERATOR
A method for recommending at least one downstream operator, the method may include obtaining attribute information relating to a first operator in an algorithm scheme (510); determining, based on the attribute information relating to the first operator, at least one second operator from an operator set, the at least one second operator being at least one recommended downstream operator to be directly connected with the first operator (520); and generating, based on the at least one second operator, an operator recommendation list (530).
The present disclosure provides a method and a system for request traffic management. The method may include for any cycle, obtaining a pending request; in response to a count of tokens in a target token set corresponding to the cycle being greater than 0, taking a target token from the target token set and issuing the target token to the pending request to facilitate a service system to process the pending request; and in response to the pending request being processed within the cycle, reclaiming one or more tokens held by the pending request and adding the one or more tokens to another token set corresponding to the cycle; wherein a total count of tokens in the cycle is a preset value.
Systems and methods for image processing are provided. The systems obtain an initial image including a side face of a target subject and extract, from the initial image, face features and background features. The face features are associated with the side face of the target subject in the initial image, and the background features are associated with the background of the side face of the target subject in the initial image. The systems determine fusion features by fusing the face features and the background features and generate a target image based on the fusion features, the target image including a front face of the target subject.
Disclosed are an image segmentation method, a training method for an image segmentation network, an electronic equipment, and a storage medium. The method includes: sending an input image to an image segmentation network; obtaining a first foreground target box of the input image; obtaining a first region of interest and a first region-of-interest feature map of the input image based on the first foreground target box; dividing the first region of interest into grids, predicting a corresponding feature of each grid in the first region of interest based on the first region-of-interest feature map, obtaining a semantic feature of each pixel in the first region of interest; and obtaining an instance segmentation result based on the corresponding feature of each grid in the first region of interest, information of the first foreground target box, and the semantic feature of each pixel in the first region of interest.
G06T 7/194 - DécoupageDétection de bords impliquant une segmentation premier plan-arrière-plan
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/771 - Sélection de caractéristiques, p. ex. sélection des caractéristiques représentatives à partir d’un espace multidimensionnel de caractéristiques
The present disclosure relates to systems and methods for video surveillance. The systems may obtain an initial time period corresponding to at least part of a time period during which at least one target image frame is captured by the monitoring equipment based on at least one parameter of a monitoring equipment. The systems may obtain a warning scheme associated with the initial time period. The warning scheme may include controlling an operation of a light associated with the monitoring equipment within at least one candidate time period in the initial time period and processing the at least one target image frame.
H04N 23/745 - Détection de la fréquence de scintillement ou suppression du scintillement, le scintillement étant causé par l'éclairage, p. ex. par l'éclairage d'un tube fluorescent ou d'une LED pulsée
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
An universal adjustment frame (100). The universal adjustment frame may include: a first adjustment component (10), including a first adjustment frame (12) and a first connecting structure (121) arranged on the first adjustment frame; and an adapting component(40), including an adapting frame(42) and a second connecting structure(421) arranged on the adapting frame; wherein the first connecting structure and the second connecting structure may be configured to connect with each other. A camera device (300), comprises a camera (200) and the universal adjustment frame.
F16M 11/12 - Moyens pour la fixation des appareilsMoyens permettant le réglage des appareils par rapport au banc permettant la rotation dans plus d'une direction
A cluster system may be provided. The cluster system may include a management processor, a main node configured for providing metadata services, and working nodes being communicatively connected to the main node and configured to send report information to the main node. The management processor may be configured to update a first node list relating to the one or more first working nodes configured for metadata backup and a second node list relating to one or more second working nodes other than the one or more first working nodes based on the report information of each working node. In response to detecting that one of the one or more first working nodes is abnormal, the management processor may determine a target second working node from the second node list and update the first node list and the second node list based on the target second working node.
A plane source blackbody. The plane source blackbody may include an aluminum alloy substrate, wherein the aluminum alloy substrate includes Mn with a mass fraction of 0.04%-0.07%, Cr with a mass fraction of 0.07%-0.12%, Er with a mass fraction of 0.09%-0.11%, and Pr with a mass fraction of 0.04%-0.06%.
The embodiments of the present disclosure provide a system, a method, and a readable medium for updating an algorithm package including a plurality of portions. The method may include determining, based on an updating instruction, a target portion of the plurality of portions of the algorithm package to be updated; generating an updating package of the algorithm package based on the target portion of the algorithm package to be updated; and distributing the updating package to a terminal.
The embodiments of the present disclosure provide a method, system, and readable medium for video encoding. The method may include: obtaining current template reconstruction data, the current template reconstruction data including reconstruction pixel data of a current template region in a current frame related to a current encoding block; obtaining reference template reconstruction data, the reference template reconstruction data including reconstruction pixel data of a reference template region in a reference frame related to a reference encoding block, the current template region corresponding to the reference template region; obtaining a prediction value adjustment model of the current encoding block based on the current template reconstruction data and the reference template reconstruction data; obtaining an initial prediction value of the current encoding block; determining a target prediction value by adjusting, based on the initial prediction value, the initial prediction value according to the prediction value adjustment model; and determining encoding data of the current encoding block based on the target prediction value.
H04N 19/147 - Débit ou quantité de données codées à la sortie du codeur selon des critères de débit-distorsion
H04N 19/102 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’élément, le paramètre ou la sélection affectés ou contrôlés par le codage adaptatif
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
66.
VEHICLE LICENSE PLATE RECOGNITION METHOD, DEVICE, TERMINAL AND COMPUTER-READABLE STORAGE MEDIUM
A vehicle licence plate recognition method includes: performing the vehicle licence plate recognition on the obtained fisheye image to obtain the vehicle plate region; in response to the vehicle license plate region being in the non-reference direction, enlarging the vehicle licence plate region based on all pixels of the vehicle licence plate region to obtain the deformed image of the vehicle licence plate; the resolution of the deformed image of the vehicle licence plate being higher than the resolution of the vehicle license plate region; reference direction correction is performed on the deformed image of the vehicle licence plate to obtain the to-be-detected image; and recognizing the to-be-detected image to obtain the output character corresponding to the vehicle license plate region.
The present disclosure relates to the field of wireless communication technology, in particular to methods and devices for information transmission. The method may include operations. A transmission request for requesting a node to perform remote information transmission may be received and whether a node identification in the transmission request matches a preset identification may be determined through a first type of node. In response to determining that the node identification in the transmission request matches the preset identification, the transmission request may be processed through the first type of node. In response to determining that the node identification in the transmission request doesn't match the preset identification, the transmission request may be forwarded to a second type of node through the first type of node, and the transmission request may be processed through the second type of node.
The present disclosure relates to systems and methods for machine learning model compression. The method may include obtaining a plurality of weights of the machine learning model. The method may also include determining a target quantization interval set of the plurality of weights. The target quantization interval set may include a plurality of target quantization intervals. The method may further include determining a plurality of target shared weights corresponding to the plurality of target quantization intervals respectively. The plurality of target shared weights may be used to compress the machine learning model.
The method includes: receiving an image to be detected, wherein the image to be detected includes an object to be detected; detecting the image to be detected based on a trained multi-task network model to obtain a region where the object wears a mask; comparing an area of the region where the object wears the mask to a predetermined threshold to determine a first detection result; in response to the object being determined as wearing the mask, determining comparison information of a mask area to be compared, and determining a target region in the image to be detected corresponding to the comparison information based on a face feature point template; and obtaining a second detection result based on an overlapping degree between the target region and the region where the object wears the mask.
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
The present disclosure relates to systems and methods for code optimization. The methods include generating, based on a first macro of a user code, an assembly code corresponding to the user code. The first macro includes one or more parameters relating to one or more branch codes, and the assembly code includes assembly branch codes corresponding to the branch codes and jump codes corresponding to the assembly branch codes. The methods further include obtaining, based on a second macro of the user code, target information for identifying an execution condition of the one or more branch codes, and determining, based on the assembly code and the target information, a compiled user code. When being executed, the compiled user code may call, based on the target information, a procedure to determine a value of the execution condition. The procedure is configured to modify an execution flow of the compiled user code.
Some embodiments of the present disclosure provide methods, devices, computer-readable storage mediums for detecting a signal light. The method may include obtaining a first image and a second image previous to the first image in time sequence, wherein both the first image and the second image include a same target signal light; determining, based on the first image, a first state of the target signal light in the first image; determining, based on the second image and the first image, a second state of the target signal light in the first image; and determining, based on the first state and the second state, a target state of the target signal light at a time point when the first image is captured.
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
A method and system for producing a panoramic image. The method may include obtaining a plurality of images to be stitched by multiple imaging shots (310); determining a target image to be stitched from the plurality of images to be stitched (320); determining a stitch sequence of the plurality of images to be stitched (330), wherein the target image to be stitched is placed at a preset stitch position and an adjacence relationship of the plurality of images to be stitched in the stitch sequence corresponds to an adjacence relationship of the multiple imaging; and obtaining the panoramic image by stitching the plurality of images to be stitched according to the stitch sequence (340).
Disclosed are task allocation method, an apparatus, a storage medium and an electronic device. The method includes: initializing allocation parameters, wherein the allocation parameters include the number of idle node devices in a target device cluster and the number of to-be-allocated task elements; performing simulated allocation on the to-be-allocated task elements to each idle node device for processing to generate a candidate scheduling matrix, wherein the candidate scheduling matrix is configured to indicate a simulated allocation result; obtaining a load balancing parameter corresponding to the candidate scheduling matrix, and determining a target scheduling matrix according to the load balancing parameter; and in response to the target scheduling matrix satisfying an allocation condition, allocating the to-be-allocated task elements to the idle node devices according to the target scheduling matrix. The present disclosure can solve the technical problem of unbalanced task allocation.
The present disclosure provides a method and a system for image generation. The method may include: obtaining an initial image, the initial image being an image generated by a generator and including a specified target; determining, in the initial image, a partial image of the specified target; generating a fusion image including the specified target by performing an image fusion based on a background image and the partial image of the specified target; and generating a target sample image based on the fusion image.
Disclosed are a truck load identification method, an electronic device and a storage medium. The truck load identification method includes: obtaining a to-be-identified image; in response to a truck being identified in the to-be-identified image, identifying a plurality of key points of a cargo area of the truck in the to-be-identified image; obtaining a cargo area map including only the cargo area based on the plurality of key points; obtaining a cargo attribute of the cargo area by identifying the cargo area map; and in response to determining that a current state of the truck is a preset state based on the cargo attribute of the cargo area, conducting a warning prompt. By virtue of the truck load identification method provided by the present disclosure, the identification accuracy may be improved.
The embodiments of the present disclosure provide methods, systems and storage media for task dispatch. The method includes obtaining configuration information of a plurality of processing modules in a pipeline; determining priorities of the plurality of processing modules based on the configuration information; and dispatching tasks corresponding to the plurality of processing modules respectively based on the priorities.
A method and system for performing a data processing task. The method may include obtaining a computational graph corresponding to a data processing task, the data processing task including a plurality of processing flows, the computational graph including a plurality of processing nodes representing the plurality of processing flows and directed edges each of which is configured to connect processing nodes among the plurality of processing nodes, a direction of a directed edge denoting a direction of data transfer between processing nodes connected by the directed edge; and performing the plurality of processing flows based on the computational graph by: determining a data processing strategy corresponding to a current processing node based on a hierarchy value of the current processing node and a hierarchy value of at least one associative processing node connected with the current processing node, a hierarchy value of a processing node being related to a count of edges between the processing node and an initial processing node; and in response to determining that the current processing node receives input data, performing a processing flow corresponding to the current processing node according to the data processing strategy based on the input data.
A system and method for task execution. The method may include determining a target task to be executed, wherein the target task corresponds to a target processing module in a target pipeline. The method may also include obtaining an execution strategy of the target task, wherein the execution strategy is associated with data results of at least two previous processing modules of the target processing module. The method may further include executing the target task based on the execution strategy.
The present disclosure provides a video processing method, an electronic device, and a computer-readable storage medium. The method includes: obtaining a to-be-processed video sequence; resampling at least one picture of the to-be-processed video sequence, and encoding the at least one picture based on a quantization parameter after resampling; wherein the quantization parameter after resampling is obtained by offsetting a quantization parameter before resampling based on an offset value of quantization parameters of the to-be-processed video sequence, and each resampled picture is encoded to obtain an encoded picture; and performing a picture resolution reconstruction on the encoded picture as an input picture to generate an output picture; wherein the output picture has a resolution higher than a resolution of the input picture.
H04N 19/20 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage d'objets vidéo
H04N 19/44 - Décodeurs spécialement adaptés à cet effet, p. ex. décodeurs vidéo asymétriques par rapport à l’encodeur
80.
Systems and methods for controlling exposure time periods for image acquisition
A method for image acquisition may be provided. The method may include sending an exposure instruction to a plurality of image sensors. The method may further include controlling exposure time periods of at least one exposure group to obtain a plurality of frame images based on the exposure instruction. For each of the at least one exposure group, the exposure group may include a plurality of exposure regions corresponding to the plurality of image sensors, imaging positions corresponding to the plurality of exposure regions may be the same, and the exposure instruction may cause that a relationship between midpoints of exposure time periods of the plurality of exposure regions in the exposure group satisfies a condition.
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
H04N 23/741 - Circuits de compensation de la variation de luminosité dans la scène en augmentant la plage dynamique de l'image par rapport à la plage dynamique des capteurs d'image électroniques
H04N 25/626 - Réduction du bruit dû aux charges résiduelles qui subsistent après la lecture de l'image, p. ex. pour supprimer les images fantômes ou les images rémanentes
81.
IDENTITY RECOGNITION METHOD, COMPUTER APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
An identity recognition method, a computer apparatus, a non-transitory computer-readable storage medium are provided. The method includes: acquiring a to-be-identified image including a test object; extracting multi-modal features of the test object from the to-be-identified image based on a pre-established feature extraction model, the multi-modal features including at least one face feature and one human body feature; comparing the multi-modal features to modal features included by multi-modal feature sets in a pre-established feature registry; determining a target multi-modal set corresponding to the highest comparison score from the multi-modal feature sets, wherein each of the multi-modal feature sets incorporates at least one of the face feature and the human body feature; and determining an identity information corresponding to a target face feature included by the target multi-modality set, and determining the identity information corresponding to the target face feature as an identity information of the test object.
The present disclosure is related to systems and methods for image processing. The method includes obtaining an original image captured by a capture device. The method includes identifying one or more objects in the original image by a first processing device. The method includes performing a first processing operation on at least a first part of the one or more objects by the first processing device. The method includes performing a second processing operation on at least a second part of the one or more objects by a second processing device.
The present disclosure relates to systems and methods for video encoding. The systems may determine a current string in a coding unit (CU) of an image frame. The current string may include one or more pixels. The systems may determine a first cost based on pixels with a same pixel value in the current string. The systems may determine a second cost based on one or more strings that are located above the current string. The systems may further determine a prediction string of the current string based on the first cost and the second cost. To determine the prediction string of the current string based on the first cost and the second cost, the systems may designate the current string as the prediction string of the current string in response to that the first cost and the second cost are not determined.
H04N 19/147 - Débit ou quantité de données codées à la sortie du codeur selon des critères de débit-distorsion
H04N 19/50 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif
The present disclosure relates to systems and methods for video encoding. The systems may determine a current string in a coding unit (CU) of an image frame. The current string may include one or more pixels. The systems may determine, based on a first pixel in the current string, a reference matching pixel of the first pixel by searching a searching area. The searching area may include a plurality of matching pixels The systems may determine, based on the reference matching pixel and matching patterns, a count of matching pixels in each of a plurality of groups, corresponding to the matching patterns, of the current string. The systems may further determine, based on counts of matching pixels in the plurality of groups corresponding to the matching patterns, a target prediction of the current string.
H04N 19/139 - Analyse des vecteurs de mouvement, p. ex. leur amplitude, leur direction, leur variance ou leur précision
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
85.
Systems and method for inter prediction based on a merge mode
The present disclosure relates to systems and methods for inter prediction based on a Merge mode. The methods may include determining whether a current block in an image frame satisfies a division condition, and in response to determining that the current block satisfies the division condition, obtaining two sub-blocks by dividing the current block according to a division mode. The division mode may include a rectangular division. The methods may further include determine, based on the two sub-blocks, a prediction result of the current block.
H04N 19/159 - Type de prédiction, p. ex. prédiction intra-trame, inter-trame ou de trame bidirectionnelle
H04N 19/105 - Sélection de l’unité de référence pour la prédiction dans un mode de codage ou de prédiction choisi, p. ex. choix adaptatif de la position et du nombre de pixels utilisés pour la prédiction
H04N 19/109 - Sélection du mode de codage ou du mode de prédiction parmi plusieurs modes de codage prédictif temporel
H04N 19/117 - Filtres, p. ex. pour le pré-traitement ou le post-traitement
H04N 19/119 - Aspects de subdivision adaptative, p. ex. subdivision d’une image en blocs de codage rectangulaires ou non
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
H04N 19/182 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant un pixel
H04N 19/51 - Estimation ou compensation du mouvement
H04N 19/80 - Détails des opérations de filtrage spécialement adaptées à la compression vidéo, p. ex. pour l'interpolation de pixels
The present disclosure provides a laminating device. The laminating device may include a first conveying device, a second conveying device, and a laminating apparatus. The first conveying device may be configured to convey a film-like structure. The second conveying device may be arranged along a conveying direction of the first conveying device. A conveying speed of the first conveying device may be greater than that of the second conveying device. The second conveying device may receive the film-like structure conveyed by the first conveying device. The film-like structure may form a folded portion on the second conveying device. The laminating apparatus may be configured to convey an object to be laminated and receive the film-like structure conveyed by the second conveying device. The film-like structure with the folded portion may be laminated with the object to be laminated on the laminating apparatus.
B32B 41/00 - Dispositions pour le contrôle ou la commande des procédés de stratificationDispositions de sécurité
B32B 38/00 - Opérations auxiliaires liées aux procédés de stratification
B32B 37/12 - Procédés ou dispositifs pour la stratification, p. ex. par polymérisation ou par liaison à l'aide d'ultrasons caractérisés par l'usage d'adhésifs
B32B 38/18 - Manipulation des couches ou du stratifié
B32B 37/22 - Procédés ou dispositifs pour la stratification, p. ex. par polymérisation ou par liaison à l'aide d'ultrasons caractérisés par les propriétés des couches toutes les couches existant et présentant une cohésion avant la stratification impliquant l'assemblage à la fois de couches individualisées et de couches continues
87.
SYSTEMS, METHODS, AND STORAGE DEVICES FOR DATA CLUSTERING
The present disclosure relates to methods, systems, and storage devices for data clustering. The method may include obtaining data records collected by a plurality of data sources. Each data record may be collected by one of the plurality of data sources at a collection time in a collection location. The method may also include generating a preliminary clustering result by clustering the data records. The preliminary clustering result may include a plurality of data sets of a plurality of candidate subjects, and each of the plurality of data sets may correspond to one of the plurality of candidate subjects. For a first candidate subject of the plurality of candidate subjects, the method may also include determining correlation information of the first candidate subject based on the collection times and the collection locations of the data records in the data set corresponding to the first candidate subject. The correlation information may at least include time-space correlation information representing a correlation between the first candidate subject, the time, and the space. The method may further include generating a target clustering result by modifying the preliminary clustering result based on the correlation information of the first candidate subject.
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
88.
SYSTEMS AND METHODS FOR TRANSFORMATION BASED ON AN INTRA BLOCK COPY (IBC) MODE
The present disclosure is related to systems and methods for transformation based on an intra block copy (IBC) mode. The method includes obtaining a set of candidate transformation results by performing a set of candidate transformation modes on a first block in an image. The set of candidate transformation modes include at least one of a first transformation mode, a secondary transformation mode, or a sub-block transformation mode. The method includes determining a target transformation mode for the first block based on the set of candidate transformation results.
H04N 19/12 - Sélection parmi plusieurs transformées ou standards, p. ex. sélection entre une transformée en cosinus discrète [TCD] et une transformée en sous-bandes ou sélection entre H.263 et H.264
H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant un bloc, p. ex. un macrobloc
H04N 19/61 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant un codage par transformée combiné avec un codage prédictif
H04N 19/593 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre des techniques de prédiction spatiale
The present disclosure provides an apparatus for paperboard-film lamination, comprising: a roller used to convey a film in a rolling motion; and an ejector device used to eject the film on the roller along a direction away from an outer wall surface of the roller.
B65B 41/12 - Alimentation des bandes à partir de rouleaux
B65B 61/00 - Dispositifs accessoires, non prévus ailleurs, opérant sur feuilles, flans, bandes, attaches, réceptacles ou paquets
B32B 37/12 - Procédés ou dispositifs pour la stratification, p. ex. par polymérisation ou par liaison à l'aide d'ultrasons caractérisés par l'usage d'adhésifs
B29C 63/00 - Garnissage ou gainage, c.-à-d. application de couches ou de gainages préformés en matière plastiqueAppareils à cet effet
B29C 69/00 - Combinaisons de techniques de façonnage non prévues dans un seul des groupes principaux , p. ex. associations de techniques de moulage et d'assemblageAppareils à cet effet
90.
PROCESSING METHODS, SYSTEMS, DEVICES, AND STORAGE MEDIUMS IN DISTRIBUTED FRAMEWORKS
The embodiments of the present disclosure may disclose processing methods, systems, devices, and storage mediums in a distributed framework. The processing method may include: obtaining a position of first data resource; and allocating a ProcessPod to one of the one or more Nodes based on the position of the first data resource and recording an allocation result.
The present disclosure relates to devices equipped with transparent film heaters and methods for preparing the devices and the transparent film heaters. The devices may include a substrate and a transparent film heater deposited on the substrate and configured to heat the substrate. The transparent film heater may include a heating layer configured to generate heat and an isolation layer deposited between the substrate and the heating layer. The isolation layer may be configured to reduce heat conduction from the heating layer to the substrate.
H05B 3/34 - Éléments chauffants ayant une surface s'étendant essentiellement dans deux dimensions, p. ex. plaques chauffantes flexibles, p. ex. grillages ou tissus chauffants
G03B 17/55 - Parties constitutives des appareils ou corps d'appareilsLeurs accessoires avec des dispositions pour chauffer ou réfrigérer, p. ex. avion
H01B 5/14 - Conducteurs ou corps conducteurs non isolés caractérisés par la forme comprenant des couches ou pellicules conductrices sur supports isolants
H01B 13/00 - Appareils ou procédés spécialement adaptés à la fabrication de conducteurs ou câbles
B22F 1/0545 - Dispersions ou suspensions de particules de taille nanométrique
B22F 9/24 - Fabrication des poudres métalliques ou de leurs suspensionsAppareils ou dispositifs spécialement adaptés à cet effet par un procédé chimique avec réduction de mélanges métalliques à partir de mélanges métalliques liquides, p. ex. de solutions
Embodiments of the present description provide an application deployment method and system. The method comprises: obtaining a first application package to be deployed; determining a first dependency relationship described in the first application package, the first dependency relationship indicating one or more second application packages on which the first application package depends; and deploying the one or more second application packages and the first application package according to the first dependency relationship.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
The present disclosure relates to systems and methods for object recognition. The systems may obtain an image associated with an object. The systems may determine, using a recognition model, an initial recognition result of the object based on the image. The initial recognition result may include a plurality of initial recognition values corresponding to a plurality of predetermined categories respectively. Each of the plurality of initial recognition values may indicate an initial probability that the object corresponds to a corresponding predetermined category. In response to determining that the initial recognition result satisfies a preset condition, for each of the plurality of predetermined categories, the systems may obtain a reference probability corresponding to the predetermined category. The systems may determine a target recognition result of the object by adjusting the plurality of initial recognition values based on a plurality of reference probabilities corresponding to the plurality of predetermined categories respectively. The target recognition result may include a plurality of target recognition values corresponding to the plurality of predetermined categories respectively. Each of the plurality of target recognition values may indicate a target probability that the object corresponds to a corresponding predetermined category.
A method may include obtaining parameter information of a plurality of acquisition devices that communicate with the system to transmit video data to the system. The parameter information of each of the plurality of acquisition device may include transmission information of a target key frame of the video data of the acquisition device. The method may also include determining, based on the parameter information, whether there are collision key frames in the target key frames of the plurality of acquisition devices. The method may also include adjusting an original generation time of at least one of the collision key frames in response to determining that there are collision key frames, so that after the adjustment, there is no collision key frame in the target key frames of the plurality of acquisition devices.
H04N 19/895 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le pré-traitement ou le post-traitement spécialement adaptés pour la compression vidéo mettant en œuvre des procédés ou des dispositions de détection d'erreurs de transmission au niveau du décodeur combiné à la dissimulation d’erreurs
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé
The present disclosure relates to zoom lenses. A zoom lens may include in order from an object side to an image side: a first lens group; a second lens group; a third lens group; a fourth lens group; and a fifth lens group; wherein the zoom lens satisfies certain conditions.
G02B 15/14 - Objectifs optiques avec moyens de faire varier le grossissement par déplacement axial d'au moins une lentille ou de groupes de lentilles relativement au plan de l'image afin de faire varier de façon continue la distance focale équivalente de l'objectif
G02B 13/00 - Objectifs optiques spécialement conçus pour les emplois spécifiés ci-dessous
G02B 13/02 - Télé-objectifs photographiques, c.-à-d. systèmes du type + — dans lesquels la distance du sommet de l'angle avant au plan de l'image est inférieure à la distance focale équivalente
G02B 27/00 - Systèmes ou appareils optiques non prévus dans aucun des groupes ,
Provides resource management systems and methods thereof. The resource management systems may include a plurality of worker nodes and a master node communicatively connected to the plurality of worker nodes. Each of one or more candidate worker nodes of the plurality of worker nodes may include both computing resources and storage resources. The master node may include a first scheduler and a second scheduler. The first scheduler may be configured to allocate at least part of the computing resources of the one or more candidate worker nodes for a scheduling task, and the second scheduler may be configured to schedule at least part of the storage resources of the one or more candidate worker nodes for the scheduling task.
A method and system for data query is provided. The method may include obtaining a query request; determining a first query condition based on the query request; obtaining a field query result relating to a connection field by querying, based on the first query condition, in a full-text retrieval system, wherein the full-text retrieval system may store one or more indexes; determining a second query condition based on the field query result; and obtaining a target query result by querying, based on the second query condition, in a target type database, wherein the target type database may store one or more target type data tables, and the one or more indexes may be associated with data in the one or more target type data tables via the connection field.
G06F 16/907 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
98.
SYSTEMS AND METHODS FOR DATA STORAGE AND RETRIEVAL
The present disclosure is related to systems and methods for storing data. The method includes obtaining a streaming data file including a first set of data frames. The method includes, in response to determining that the streaming data file satisfies one or more conditions, generating a hole frame storing an offset address of the streaming data file, and establishing a target streaming data file by adding a second set of data frames into the streaming data file based on the hole frame.
The present disclosure provides methods, systems, and devices for data query. The methods may include obtaining one or more query conditions. Each of the one or more query conditions may include at least one of schema information of an edge of interest to be queried or property information of one or more nodes associated with the edge of interest to be queried. The methods may include determining, based on the one or more query conditions, at least one record in a target index. Each record of the at least one record in the target index may be generated based on schema information of a target edge of at least one target edge that satisfies one or more target edge conditions and property information of one or more nodes associated with the target edge. Further, the methods may include determining, based on the at least one record, a query result. The query result may include the edge of interest and the one or more nodes associated with the edge of interest.
A method for correcting positioning deviation, the method may include: obtaining geographic position information of at least two geographic reference points (410); for each of the at least two geographic reference points, obtaining a reference image of the geographic reference point collected by a capture device, wherein the reference image includes image position information of an image reference point corresponding to the geographic reference point (420); and determining deviation information of the capture device based on the geographic position information and the image position information corresponding to the at least two geographic reference points (430).
