A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
G06F 15/00 - Digital computers in generalData processing equipment in general
G06F 15/02 - Digital computers in generalData processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
Devices and methods for conducting a remote photography session are described. In some instances, a computing device at a photography station receives messages from a photography station controller which is remote from the photography station. In some examples, the computing device receives one or more messages instructing the computing device to capture an image from an image capture device. The computing device can also receive one or more messages instructing the computing device to adjust the image capture device. Additionally, the messages may instruct the computing device to present instructions to a subject of the photography session. These instructions can prompt the subject to make adjustments to meet a criteria for a photograph in the photography session.
A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.
Methods and systems for detecting colored artifacts on an image of subject are disclosed. An image may be received, wherein the image has undergone background replacement processing. The image may include colored artifacts as a result of errors in background replacement processing. A density of colored artifacts on the image may be determined, and in response to a determination that the image has a density of colored artifacts that exceeds a predetermined threshold, the image may be displayed on a user interface. The user interface may include a selectable element that, in response to being selected, causes the colored artifacts to be highlighted on the image displayed on the user interface. Colored artifacts on the image may then be corrected to improve the image quality before the image is sent to a customer as a final image product.
G06T 7/70 - Determining position or orientation of objects or cameras
G06T 7/90 - Determination of colour characteristics
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
5.
System and method for customizing photo product designs with minimal and intuitive user inputs
A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 15/00 - Digital computers in generalData processing equipment in general
G06F 15/02 - Digital computers in generalData processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
Devices and methods for conducting a remote photography session are described. In some instances, a computing device at a photography station receives messages from a photography station controller which is remote from the photography station. In some examples, the computing device receives one or more messages instructing the computing device to capture an image from an image capture device. The computing device can also receive one or more messages instructing the computing device to adjust the image capture device. Additionally, the messages may instruct the computing device to present instructions to a subject of the photography session. These instructions can prompt the subject to make adjustments to meet a criteria for a photograph in the photography session.
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement.
A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06T 11/60 - Editing figures and textCombining figures or text
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver
A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.
A computer-implemented method for creating a photo product design with minimal user inputs includes generating a first portion of a photo product design by a product design module in response to user input, determining one or more layout parameters from the user input to the first portion of the photo product design by a user design learning module, automatically creating a second portion of the photo product design by an intelligent product creation engine at least in part in response to the one or more layout parameters, and automatically making a physical photo product based on at least the first portion and the second portion of the photo product design.
A marking system for decorating one or more workpieces includes a plurality of marking stations that can mark product images on blank workpieces to produce product workpieces, at least some of which have different sizes, shapes, materials, or a combination thereof, a control system that can select one of the plurality of marking stations and send product image data to the selected one of the plurality of marking stations, and a robotic manipulator that can transport a blank workpiece to the selected marking station under the control of the robotic manipulator. The selected marking station can mark the product image the blank workpiece based on the product image data which produces a product workpiece. The robotic manipulator can remove the product workpiece from the selected one of the plurality of marking stations.
B23K 26/04 - Automatically aligning, aiming or focusing the laser beam, e.g. using the back-scattered light
B44B 3/00 - Artists' machines or apparatus equipped with tools or work holders moving or able to be controlled substantially two-dimensionally for carving, engraving, or guilloching shallow ornamenting or markings
B23K 26/08 - Devices involving relative movement between laser beam and workpiece
B23K 26/06 - Shaping the laser beam, e.g. by masks or multi-focusing
B41J 3/407 - Typewriters or selective printing or marking mechanisms characterised by the purpose for which they are constructed for marking on special material
15.
System and method for reducing similar photos for display and product design
A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.
G06K 9/68 - Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of reference, e.g. addressable memory
A system for assembling a group composite image from individual subject images is described. Often subjects of a group vary in height. Additionally, as each subject is photographed individually, different zoom factors can be applied by a camera that affects a pixel density of the image captured. The system includes a fiducial marking device that emits collimated light to form one or more fiducial markers on a subject while an image is captured by the camera. Based on a location of the fiducial markers in the image, a pixel density of the image and a reference height of the subject can be determined. The individual subject image can be scaled based on the pixel density and reference height to account for the varying subject heights and zoom factors to generate a group composite image that accurately represents the subjects of the group relative to one another.
H04N 13/254 - Image signal generators using stereoscopic image cameras in combination with electromagnetic radiation sources for illuminating objects
G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object
A method for matching and tracking workpieces in laser etching operation includes generating by the computer a label image that uniquely identifies the workpiece, moving a laser head to the workpiece, setting the laser head to a first power level by a power controller, etching the product image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the first power level in accordance with a product image in a pixel wise fashion across the workpiece, moving the laser head to the label by the transport mechanism, setting the laser head to a second power level by the power controller, etching the label image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the second power level in accordance with the label image in a pixel wise fashion across the label.
B23K 37/04 - Auxiliary devices or processes, not specially adapted for a procedure covered by only one of the other main groups of this subclass for holding or positioning work
18.
Hybrid deep learning method for recognizing facial expressions
A computer implemented method for recognizing facial expressions by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and recognizing a facial expression in the face image in accordance to the hybrid decision.
G06N 3/084 - Backpropagation, e.g. using gradient descent
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G06F 18/2132 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
19.
Automated communication design construction system
An automated communication design analysis and construction system that includes one or more intelligent communication design servers, comprising: a normalization module that converts communication content files for different recipients to normalized intermediate format files; an objects identification and quantification module that identifies text objects and image objects in the normalized intermediate format files; a cross-recipient group analysis module configured to identify static global objects that are invariant between recipients, data variables, and variable global objects that vary between recipients in the normalized intermediate format files; and an intelligent communication content learning and constructing engine that can construct standard communication design files based on the static global objects, the data variables, and the variable global objects. A data storage stores the communication content files and the standard communication design files. A communication resource allocation server sends the standard communication design files to one or more product fulfillment centers.
A repositionable display panel includes a rigid image plate (110) that includes a front surface configured to receive a colorant to form an image thereon and a back surface opposite to the first surface. The rigid image plate is defined by an image plate thickness and image plate widths. A spacer block (120) is defined by a spacer block thickness and spacer block widths smaller than the image plate widths. A pressure-sensitive adhesive layer between the back surface of the rigid image plate and the spacer block bonds the rigid image plate and the spacer block together.
A repositionable display panel includes a rigid image plate (110) that includes a front surface configured to receive a colorant to form an image thereon and a back surface opposite to the first surface. The rigid image plate is defined by an image plate thickness and image plate widths. A spacer block (120) is defined by a spacer block thickness and spacer block widths smaller than the image plate widths. A pressure-sensitive adhesive layer between the back surface of the rigid image plate and the spacer block bonds the rigid image plate and the spacer block together.
A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 15/00 - Digital computers in generalData processing equipment in general
G06F 15/02 - Digital computers in generalData processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
23.
System for background and floor replacement in full-length subject images
A system for performing background and floor replacement in full-length subject images is described. A set of three or more images of a subject can be captured under different illumination conditions. For example, at least one of the images is captured while a foot portion of the subject and surrounding floor, including a floor mat on which the subject is positioned, are illuminated by a floor lighting device. The floor mat has a Lambertian surface to reflect light in a particular manner such that a maximum contrast between the floor and the subject is captured in the image. Varying contrast between the background, floor, and subject among the images of the set can be leveraged by an image processing system to generate a background mask and a floor mask that are combined and seamlessly transitioned to yield a compiled mask for use in background and floor replacement.
A computer-implemented method for creating a photo product design with minimal user inputs includes generating a first portion of a photo product design by a product design module in response to user input, determining one or more layout parameters from the user input to the first portion of the photo product design by a user design learning module, automatically creating a second portion of the photo product design by an intelligent product creation engine at least in part in response to the one or more layout parameters, and automatically making a physical photo product based on at least the first portion and the second portion of the photo product design.
A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.
A repositionable display panel includes a rigid image plate that includes a front surface configured to receive a colorant to form an image thereon and a back surface opposite to the first surface. The rigid image plate is defined by an image plate thickness and image plate widths. A spacer block is defined by a spacer block thickness and spacer block widths smaller than the image plate widths. A pressure-sensitive adhesive layer between the back surface of the rigid image plate and the spacer block bonds the rigid image plate and the spacer block together.
A method of identifying a background type in a photograph includes extracting a background image from a photograph, feeding the background image into a first convolution neural network to obtain a first decision, extracting color features in the background image, transforming the color features into a two-dimensional color feature matrix, feeding the two-dimensional color feature matrix into a second convolution neural network to obtain a second decision by the one or more computer processors, extracting texture features in the background image, transforming the texture features into a two-dimensional texture feature matrix image by the one or more computer processors, feeding the two-dimensional texture feature matrix into a third convolution neural network to obtain a third decision, computing a hybrid decision based on the first decision, the second decision, and the third decision, and identifying a background type in the background image based on the hybrid decision.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
H04N 5/272 - Means for inserting a foreground image in a background image, i.e. inlay, outlay
G06T 7/90 - Determination of colour characteristics
H04N 5/222 - Studio circuitryStudio devicesStudio equipment
G06T 7/44 - Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
A system for assembling a group composite image from individual subject images is described. Often subjects of a group vary in height. Additionally, as each subject is photographed individually, different zoom factors can be applied by a camera that affects a pixel density of the image captured. The system includes a fiducial marking device that emits collimated light to form one or more fiducial markers on a subject while an image is captured by the camera. Based on a location of the fiducial markers in the image, a pixel density of the image and a reference height of the subject can be determined. The individual subject image can be scaled based on the pixel density and reference height to account for the varying subject heights and zoom factors to generate a group composite image that accurately represents the subjects of the group relative to one another.
G06T 7/521 - Depth or shape recovery from laser ranging, e.g. using interferometryDepth or shape recovery from the projection of structured light
G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object
A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement.
A repositionable display panel includes a rigid image plate that includes a front surface configured to receive a colorant to form an image thereon and a back surface opposite to the first surface. The rigid image plate is defined by an image plate thickness and image plate widths. A spacer block is defined by a spacer block thickness and spacer block widths smaller than the image plate widths. A pressure-sensitive adhesive layer between the back surface of the rigid image plate and the spacer block bonds the rigid image plate and the spacer block together.
Devices and methods for conducting a remote photography session are described. In some instances, a computing device at a photography station receives messages from a photography station controller which is remote from the photography station. In some examples, the computing device receives one or more messages instructing the computing device to capture an image from an image capture device. The computing device can also receive one or more messages instructing the computing device to adjust the image capture device. Additionally, the messages may instruct the computing device to present instructions to a subject of the photography session. These instructions can prompt the subject to make adjustments to meet a criteria for a photograph in the photography session.
A system for assembling a group composite image from individual subject images is described. Often subjects of a group vary in height. Additionally, as each subject is photographed individually, different zoom factors can be applied by a camera that affects a pixel density of the image captured. The system includes a fiducial marking device that emits collimated light to form one or more fiducial markers on a subject while an image is captured by the camera. Based on a location of the fiducial markers in the image, a pixel density of the image and a reference height of the subject can be determined. The individual subject image can be scaled based on the pixel density and reference height to account for the varying subject heights and zoom factors to generate a group composite image that accurately represents the subjects of the group relative to one another.
H04N 13/254 - Image signal generators using stereoscopic image cameras in combination with electromagnetic radiation sources for illuminating objects
G06T 7/521 - Depth or shape recovery from laser ranging, e.g. using interferometryDepth or shape recovery from the projection of structured light
G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object
A method for automatically analyzing and constructing communications to a plurality of recipients includes automatically separating communication content files into page groups in a system comprising one or more intelligent communication design servers, wherein each of the page groups is associated a recipient of the communications, inputting the communication content files into an intra-page machine prediction model to produce intra-page parameters, inputting the communication content files and the intra-page parameters into an intra-page machine prediction model to produce intra-group parameters and inter-group parameters, automatically constructing standard communication design files by an intelligent communication content learning and constructing engine based on the communication content files and the intra-page parameters, intra-group parameters, and inter-group parameters, and printing and finishing physical mailing pieces to be mailed to the recipients based on the standard communication design files.
A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.
G06Q 30/06 - Buying, selling or leasing transactions
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 15/00 - Digital computers in generalData processing equipment in general
G06F 15/02 - Digital computers in generalData processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
Devices and methods for evaluating at least one photograph during a photography session are described. In some instances, a camera may be used to capture images during a photography session and a computing device may be used to identify a portrait order specification for the photography session including a set of required photographs, each having associated required criteria. The computing device may evaluate the images and determine whether the images can be associated with any of the required photographs based on features included in the images being associated with the required criteria of the required photographs. The images associated with required photographs may be displayed, and a determination of whether the images qualify as a required photograph may be made using a graphical user interface, or may be made automatically.
A method of illuminating a subject during photography is disclosed. The method includes illuminating a background lighting system during a first image capture, illuminating a subject lighting system during a second image capture, and illuminating the background lighting system during a third image capture. The time from the first image capture to the third image capture is less than about 100 milliseconds. Also disclosed is a method for generating a composite mask of a subject, including receiving the three images, determining any movements of the subject between the first and third images, estimating an intermediate position of the subject during the second image, and generating a composite mask at the estimated intermediate position.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.
G06K 9/68 - Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of reference, e.g. addressable memory
G06T 11/60 - Editing figures and textCombining figures or text
G06Q 30/06 - Buying, selling or leasing transactions
G06K 9/62 - Methods or arrangements for recognition using electronic means
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06T 11/60 - Editing figures and textCombining figures or text
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver
A method for proactively creating a photo product includes storing a library of points of interest in a computer storage, detecting one or more images from a user, automatically extracting image capture locations from the images, automatically comparing the image capture locations with the points of interest in the library to obtain one or more identified points of interest, automatically identifying an occasion based on the identified points of interest in the library, automatically selecting, by the computer processor, a photo product type in part based on the occasion, automatically creating a design of a photo product of the photo product type using one or more images from the user, and manufacturing a physical photo product based on the photo product design.
A method for matching and tracking workpieces in laser etching operation includes generating by the computer a label image that uniquely identifies the workpiece, moving a laser head to the workpiece, setting the laser head to a first power level by a power controller, etching the product image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the first power level in accordance with a product image in a pixel wise fashion across the workpiece, moving the laser head to the label by the transport mechanism, setting the laser head to a second power level by the power controller, etching the label image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the second power level in accordance with the label image in a pixel wise fashion across the label.
B23K 37/04 - Auxiliary devices or processes, not specially adapted for a procedure covered by only one of the other main groups of this subclass for holding or positioning work
Devices and methods for evaluating at least one photograph during a photography session are described. In some instances, a camera may be used to capture images during a photography session and a computing device may be used to identify a portrait order specification for the photography session including a set of required photographs, each having associated required criteria. The computing device may evaluate the images and determine whether the images can be associated with any of the required photographs based on features included in the images being associated with the required criteria of the required photographs. The images associated with required photographs may be displayed, and a determination of whether the images qualify as a required photograph may be made using a graphical user interface, or may be made automatically.
A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement.
A computer implemented method for recognizing facial expressions by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and recognizing a facial expression in the face image in accordance to the hybrid decision.
A computer system selects a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, copies the feature matrix T to produce a feature matrix T_best, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the SVM model on T_best. If the ratio is above the threshold, SVM predictions are performed using the SVM model on the feature matrix T_best. The first SVM model can be used classify the faces or the objects in the images. An image-product design can be created based on the faces or the objects in the images classified by the first SVM model using the feature matrix T_best.
A method of identifying a background type in a photograph includes extracting a background image from a photograph, feeding the background image into a first convolution neural network to obtain a first decision, extracting color features in the background image, transforming the color features into a two-dimensional color feature matrix, feeding the two-dimensional color feature matrix into a second convolution neural network to obtain a second decision by the one or more computer processors, extracting texture features in the background image, transforming the texture features into a two-dimensional texture feature matrix image by the one or more computer processors, feeding the two-dimensional texture feature matrix into a third convolution neural network to obtain a third decision, computing a hybrid decision based on the first decision, the second decision, and the third decision, and identifying a background type in the background image based on the hybrid decision.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
H04N 5/272 - Means for inserting a foreground image in a background image, i.e. inlay, outlay
G06T 7/90 - Determination of colour characteristics
H04N 5/222 - Studio circuitryStudio devicesStudio equipment
G06T 7/44 - Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
A computer-implemented method is disclosed for image recognition and other applications. The method employs an SVM model and can reduce false negatives and increase recognition accuracies by raising the sample-to-support-vector ratio.
A photography system includes a lighting system configured to provide a lighting scene that is diffused and is artistically desirable. The system includes an array of light panels configured to simulate a wall of windows that receive natural, diffused, and consistent sunlight, such as a large window facing the north. The light panels can operate in various modes of operation, such as a continuous light mode a strobe light mode.
A computer-implemented method includes selecting a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the first SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, automatically removing feature vectors corresponding to the FP data set from the feature matrix T by the computer processor to produce a feature matrix T_best, retraining the first SVM model on the feature matrix T_best to produce a second SVM model, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the second SVM model on T_best. If the ratio is above the threshold, SVM predictions are performed using the second SVM model on the feature matrix T_best.
An automated communication design analysis and construction system that includes one or more intelligent communication design servers, comprising: a normalization module that converts communication content files for different recipients to normalized intermediate format files; an objects identification and quantification module that identifies text objects and image objects in the normalized intermediate format files; a cross-recipient group analysis module configured to identify static global objects that are invariant between recipients, data variables, and variable global objects that vary between recipients in the normalized intermediate format files; and an intelligent communication content learning and constructing engine that can construct standard communication design files based on the static global objects, the data variables, and the variable global objects. A data storage stores the communication content files and the standard communication design files. A communication resource allocation server sends the standard communication design files to one or more product fulfillment centers.
A photography system includes a digital camera and a depth and position detection device. The digital camera is configured to capture a digital image of a subject. The depth and position detection device scans the subject and determines three-dimensional locations of the subject and any other objects within the field of view. The depth and position detection device also determines locations of body points of the subject. The depth and position information can then be mapped to the digital image.
H04N 13/239 - Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance
A computer-implemented method includes selecting a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, copying the feature matrix T to produce a feature matrix T_best, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the SVM model on T_best. If the ratio is above the threshold, SVM predictions are performed using the SVM model on the feature matrix T_best. The first SVM model can be used classify the faces or the objects in the images. An image-product design can be created based on the faces or the objects in the images classified by the first SVM model using the feature matrix T_best.
A computer-implemented method is disclosed for image recognition and other applications. The method employs an SVM model and can reduce false negatives and increase recognition accuracies by raising the sample-to-support-vector ratio.
A marking system for decorating one or more workpieces includes a plurality of marking stations that can mark product images on blank workpieces to produce product workpieces, at least some of which have different sizes, shapes, materials, or a combination thereof, a control system that can select one of the plurality of marking stations and send product image data to the selected one of the plurality of marking stations, and a robotic manipulator that can transport a blank workpiece to the selected marking station under the control of the robotic manipulator. The selected marking station can mark the product image the blank workpiece based on the product image data which produces a product workpiece. The robotic manipulator can remove the product workpiece from the selected one of the plurality of marking stations.
B23K 26/04 - Automatically aligning, aiming or focusing the laser beam, e.g. using the back-scattered light
B44B 3/00 - Artists' machines or apparatus equipped with tools or work holders moving or able to be controlled substantially two-dimensionally for carving, engraving, or guilloching shallow ornamenting or markings
B23K 26/08 - Devices involving relative movement between laser beam and workpiece
B23K 26/06 - Shaping the laser beam, e.g. by masks or multi-focusing
B41J 3/407 - Typewriters or selective printing or marking mechanisms characterised by the purpose for which they are constructed for marking on special material
57.
System and method for automatically displaying variable image content in an image product
A computer-implemented method for automatically displaying variable image content in an image product includes automatically obtaining markers in photos or videos in a user account which includes detecting features in image content of the photos or the video frames and obtaining a marker for one of the photos or the video frames, automatically identifying a sequence of similar photos or videos if the markers detected in the photos or the associated video frames include more than a predetermined number or percentage of common features, detecting a marker in a photo product by a user device when the photo product is viewed by the user device, identifying a marked photo incorporated in the photo product based on the marker detected in the photo product, and enabling photos or videos in a sequence photos or videos associated with the marked photo to be displayed on the user device.
H04N 9/80 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback
G11B 27/28 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording
G06K 9/62 - Methods or arrangements for recognition using electronic means
H04N 9/82 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback the individual colour picture signal components being recorded simultaneously only
G06K 9/46 - Extraction of features or characteristics of the image
G06K 9/22 - Image acquisition using hand-held instruments
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
H04N 9/87 - Regeneration of colour television signals
G11B 27/32 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording on separate auxiliary tracks of the same or an auxiliary record carrier
58.
Hybrid deep learning method for recognizing facial expressions
A computer implemented method for recognizing facial expressions by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and recognizing a facial expression in the face image in accordance to the hybrid decision.
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06T 11/60 - Editing figures and textCombining figures or text
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
An automated communication design analysis and construction system includes that includes one or more intelligent communication design servers, comprising: a normalization module that converts communication content files for different recipients to normalized intermediate format files; an objects identification and quantification module that identifies text objects and image objects in the normalized intermediate format files; a cross recipient group analysis module configured to identify static global objects that are invariant between recipients, data variables, and variable global objects that vary between recipients in the normalized intermediate format files; and an intelligent communication content learning and constructing engine that can construct standard communication design files based on the static global objects, the data variables, and the variable global objects. A data storage stores the communication content files and the standard communication design files. A communication resource allocation server sends the standard communication design files to one or more product fulfillment centers.
An automated communication design analysis and construction system includes that includes one or more intelligent communication design servers, comprising: a normalization module that converts communication content files for different recipients to normalized intermediate format files; an objects identification and quantification module that identifies text objects and image objects in the normalized intermediate format files; a cross recipient group analysis module configured to identify static global objects that are invariant between recipients, data variables, and variable global objects that vary between recipients in the normalized intermediate format files; and an intelligent communication content learning and constructing engine that can construct standard communication design files based on the static global objects, the data variables, and the variable global objects. A data storage stores the communication content files and the standard communication design files. A communication resource allocation server sends the standard communication design files to one or more product fulfillment centers.
A computer-implemented method for responding to user behaviors includes storing category specifications for a plurality of categories configured to characterize users, storing categories for users in a computer network system, detecting behaviors of a user in real time, and determining in real time if the behaviors of the user is within a first category specification associated with a first category that the user is tagged with. If the behaviors of the user exceed the first category specification, the method assigns a second category to the user in real time in response to the detected user behaviors.
A computer-implemented method includes selecting a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the first SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, automatically removing feature vectors corresponding to the FP data set from the feature matrix T by the computer processor to produce a feature matrix T_best of size (n-size(FN))*m, retraining the first SVM model on the feature matrix T_best to produce a second SVM model, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the second SVM model on T_best. If the ratio is above the threshold, SVM predictions are performed using the second SVM model on the feature matrix T_best.
A computer-implemented method includes selecting a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the first SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, automatically removing feature vectors corresponding to the FN data set from the feature matrix T by the computer processor to produce a feature matrix T_best of size (n-size(FN))*m, retraining the first SVM model on the feature matrix T_best to produce a second SVM model, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the second SVM model on T_best. If the ratio is above the threshold, SVM predictions is performed using the second SVM model on the feature matrix T_best.
An edge light device of the present disclosure creates edge light effects, such as spectral highlight or artistic effect, on a subject. The edge light device emits light to provide an illumination zone which can be generally out of the field of view of the camera. The edge light device includes a housing having features for controlling light to create edge light effects on a subject. In certain examples, the housing provides a light blocker for concentrating light toward the subject and blocking the light from illuminating the other areas, such as the camera, in the photography station. The housing further includes at least one aperture that cooperates with the light blocker and defines a light passage through which the light is directed toward the subject.
A method of photographing a subject includes storing a library of photographic scene designs in a computer memory, training a photographic scene detection model by a computer processing device using machine learning from sample portrait images comprising known photographic scenes defined in the library of photographic scene designs, capturing a production portrait photograph, using a digital camera, of a subject in a photographic scene that is defined by a photographic scene design in the library of photographic scene designs, automatically detecting the photographic scene in the production portrait photograph using the photographic scene detection model operating on one or more computer processors, and processing the production portrait photograph by an image processing system to personalize the photographic scene detected in the production portrait photograph.
A method for proactively creating a photo product includes storing a library of points of interest in a computer system, detecting one or more images from a user, automatically extracting image capture locations from the images, automatically comparing the image capture locations with the points of interest in the library to obtain one or more identified points of interest, automatically identifying an occasion based on the identified points of interest in the library, automatically selecting, by the computer processor, a photo product type in part based on the occasion, automatically creating a design of a photo product of the photo product type using one or more images from the user, and manufacturing a physical photo product based on the photo product design.
A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.
G06K 9/68 - Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of reference, e.g. addressable memory
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
A computer-implemented method for preventing spam emails from a share site includes providing a network-based computer system to enable users to set up share sites and to send emails from the share sites, detecting potential spam emails based on one or more spam detection rules, identifying false positive emails in the potential spam emails based on one or more false alarm reduction rules, removing false positive emails from the potential spam emails to produce a list of verified spam emails, identifying a sender of the list of verified spam emails as a spammer, and prohibiting the spammer from sending emails from one or more share sites owned spammer.
A method for proactively creating a photobook includes identifying a group of images by a computer system and automatically creating a design for a photobook by the computer system without receiving a user's request for designing a photobook if the number of images in the group is determined to be within a predetermined range. Pages of the photobook incorporate a plurality of images in the group. The method further includes presenting the design of the photobook to a user for preview and receiving an order from the user for a physical manifestation of the photobook based on the design.
A computer-implemented method for creating a photo product design with minimal user inputs includes generating a first portion of a photo product design by a product design module in response to user input, determining one or more layout parameters from the user input to the first portion of the photo product design by a user design learning module, automatically creating a second portion of the photo product design by an intelligent product creation engine at least in part in response to the one or more layout parameters, and automatically making a physical photo product based on at least the first portion and the second portion of the photo product design.
A network-based communication fulfillment system includes a communication resource allocation server configured to receive a request for a communication service from a business user, wherein the communication service includes electronic communications and physical mailing pieces to be sent to recipients, an intelligent communication design server that can automatically create designs for the electronic communications and the physical mailing pieces, a communication server that can transmit the electronic communications to the recipients, and one or more product fulfillment centers that can print and finish the physical mailing pieces to be mailed to the recipients.
A method for creating a design for an image product includes registering a group of image sources by a network based image service system, wherein the group of image sources comprise a first device and a second device, receiving a notification, by the network based image service system, from the image sources about availabilities of the image sources, representing the second device and a local storage of the first device at a user interface on the first device, indicating an availability status of the second device on the first device, and if the availability status of the second device indicates that the second device is available, allowing a user to browse, on the first device, images stored on the second device.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
A photography system includes a lighting system configured to provide a lighting scene that is diffused and is artistically desirable. The system includes an array of light panels configured to simulate a wall of windows that receive natural, diffused, and consistent sunlight, such as a large window facing the north. The light panels can operate in various modes of operation, such as a continuous light mode a strobe light mode.
A method for matching and tracking workpieces in laser etching operation includes generating by the computer a label image that uniquely identifies the workpiece, moving a laser head to the workpiece, setting the laser head to a first power level by a power controller, etching the product image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the first power level in accordance with a product image in a pixel wise fashion across the workpiece, moving the laser head to the label by the transport mechanism, setting the laser head to a second power level by the power controller, etching the label image on the workpiece using a laser beam emitted from the laser head, wherein the laser beam is modulated at the second power level in accordance with the label image in a pixel wise fashion across the label.
A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.
G06Q 30/06 - Buying, selling or leasing transactions
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
A photography system provides a photography station which can be conveniently set up and provides consistent quality of photographs regardless of ambient conditions. The system includes a digital camera, a ring flash, and a tent providing a subject space for arranging the subject during photography. The tent is configured to surround the subject to at least partially isolate the subject from the surroundings. The system further includes a background unit arranged within the tent to allow for subsequent background replacement processing.
An assembled group image is generated from subject images. Each of the subject images is associated with height data for the subject in the image. The height data is used to position the subject images in the assembled group image to provide a natural appearance. Shadows can also be added to the assembled group image.
An edge light device of the present disclosure creates edge light effects, such as spectral highlight or artistic effect, on a subject. The edge light device emits light to provide an illumination zone which can be generally out of the field of view of the camera. The edge light device includes a housing having features for controlling light to create edge light effects on a subject. In certain examples, the housing provides a light blocker for concentrating light toward the subject and blocking the light from illuminating the other areas, such as the camera, in the photography station. The housing further includes at least one aperture that cooperates with the light blocker and defines a light passage through which the light is directed toward the subject.
A computer-implemented method for automatically displaying variable image content in an image product includes automatically obtaining markers in photos or videos in a user account which includes detecting features in image content of the photos or the video frames and obtaining a marker for one of the photos or the video frames, automatically identifying a sequence of similar photos or videos if the markers detected in the photos or the associated video frames include more than a predetermined number or percentage of common features, detecting a marker in a photo product by a user device when the photo product is viewed by the user device, identifying a marked photo incorporated in the photo product based on the marker detected in the photo product, and enabling photos or videos in a sequence photos or videos associated with the marked photo to be displayed on the user device.
H04N 9/80 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback
G11B 27/28 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording
G11B 27/32 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording on separate auxiliary tracks of the same or an auxiliary record carrier
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/22 - Image acquisition using hand-held instruments
G06K 9/46 - Extraction of features or characteristics of the image
H04N 9/82 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback the individual colour picture signal components being recorded simultaneously only
G06K 9/62 - Methods or arrangements for recognition using electronic means
H04N 9/87 - Regeneration of colour television signals
A method for proactively creating a photobook includes identifying a group of images by a computer system and automatically creating a design for a photobook by the computer system without receiving a user's request for designing a photobook if the number of images in the group is determined to be within a predetermined range. Pages of the photobook incorporate a plurality of images in the group. The method further includes presenting the design of the photobook to a user for preview and receiving an order from the user for a physical manifestation of the photobook based on the design.
A computer-implemented method for preventing spam emails from a share site includes providing a network-based computer system to enable users to set up share sites and to send emails from the share sites, detecting potential spam emails based on one or more spam detection rules, identifying false positive emails in the potential spam emails based on one or more false alarm reduction rules, removing false positive emails from the potential spam emails to produce a list of verified spam emails, identifying a sender of the list of verified spam emails as a spammer, and prohibiting the spammer from sending emails from one or more share sites owned spammer.
A computer-implemented method for automatically displaying variable image content in an image product includes automatically obtaining markers in photos or videos in a user account which includes detecting features in image content of the photos or the video frames and obtaining a marker for one of the photos or the video frames, automatically identifying a sequence of similar photos or videos if the markers detected in the photos or the associated video frames include more than a predetermined number or percentage of common features, detecting a marker in a photo product by a user device when the photo product is viewed by the user device, identifying a marked photo incorporated in the photo product based on the marker detected in the photo product, and enabling photos or videos in a sequence photos or videos associated with the marked photo to be displayed on the user device.
H04N 9/80 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback
G11B 27/28 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording
H04N 9/87 - Regeneration of colour television signals
G11B 27/32 - IndexingAddressingTiming or synchronisingMeasuring tape travel by using information detectable on the record carrier by using information signals recorded by the same method as the main recording on separate auxiliary tracks of the same or an auxiliary record carrier
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
A method for organizing images from multiple image capture devices includes automatically determining a coarse offset between image capture times recorded in a first image capture device and image capture times recorded in a second image capture device. The coarse offset is determined by a computing a correlation between image counts of images captured by the first image capture device and images captured by the first image capture device. The method also includes adjusting the image capture times of images recorded in the second image capture device by the coarse offset to produce adjusted image capture times for images captured by the second image capture device.
A computer-implemented method of grouping faces in large user account for creating an image product includes adding the face images obtained from an image album in a user's account into a first chunk; if the chunk size of the first chuck is smaller than a maximum chuck value, keeping the face images from the image album into the first chunk; otherwise, automatically separating the face images from the image album into a first portion and one or more second portions; keeping the first portion in the first chunk; automatically moving the second portions to subsequent chunks; automatically grouping face images in the first chunk to form face groups; assigning the face groups to known face models associated with the user account; and creating a design for an image-based product based on the face images in the first chunk associated with the face models.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06F 17/30 - Information retrieval; Database structures therefor
G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
G06T 11/60 - Editing figures and textCombining figures or text
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06T 11/60 - Editing figures and textCombining figures or text
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
H04N 1/32 - Circuits or arrangements for control or supervision between transmitter and receiver
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
A method of illuminating a subject during photography is disclosed. The method includes illuminating a background lighting system during a first image capture, illuminating a subject lighting system during a second image capture, and illuminating the background lighting system during a third image capture. The time from the first image capture to the third image capture is less than about 100 milliseconds. Also disclosed is a method for generating a composite mask of a subject, including receiving the three images, determining any movements of the subject between the first and third images, estimating an intermediate position of the subject during the second image, and generating a composite mask at the estimated intermediate position.
A method for proactively creating a photobook includes identifying a group of images by a computer system and automatically creating a design for a photobook by the computer system without receiving a user's request for designing a photobook if the number of images in the group is determined to be within a predetermined range. Pages of the photobook incorporate a plurality of images in the group. The method further includes presenting the design of the photobook to a user for preview and receiving an order from the user for a physical manifestation of the photobook based on the design.
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
A computer-implemented method of grouping faces in large user account for creating an image product includes adding the face images obtained from an image album in a user's account into a first chunk; if the chunk size of the first chunk is smaller than a maximum chunk value, keeping the face images from the image album into the first chunk; otherwise, automatically separating the face images from the image album into a first portion and one or more second portions; keeping the first portion in the first chunk; automatically moving the second portions to subsequent chunks; automatically grouping face images in the first chunk to form face groups; assigning the face goups to known face models associated with the user account; and creating a design for an image-based product based on the face images in the first chunk associated with the face models.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.
G06K 9/36 - Image preprocessing, i.e. processing the image information without deciding about the identity of the image
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
G06T 11/60 - Editing figures and textCombining figures or text
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 17/30 - Information retrieval; Database structures therefor
95.
Automatic image product creation for user accounts comprising large number of images
A computer-implemented method of grouping faces in large user account for creating an image product includes adding the face images obtained from an image album in a user's account into a first chunk; if the chunk size of the first chuck is smaller than a maximum chuck value, keeping the face images from the image album into the first chunk; otherwise, automatically separating the face images from the image album into a first portion and one or more second portions; keeping the first portion in the first chunk; automatically moving the second portions to subsequent chunks; automatically grouping face images in the first chunk to form face groups; assigning the face groups to known face models associated with the user account; and creating a design for an image-based product based on the face images in the first chunk associated with the face models.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06T 11/60 - Editing figures and textCombining figures or text
G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
G06F 17/30 - Information retrieval; Database structures therefor
96.
Image product creation based on face images grouped using image product statistics
A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups.
A method for proactively creating a photobook includes identifying a group of images by a computer system and automatically creating a design for a photobook by the computer system without receiving a user's request for designing a photobook if the number of images in the group is determined to be within a predetermined range. Pages of the photobook incorporate a plurality of images in the group. The method further includes presenting the design of the photobook to a user for preview and receiving an order from the user for a physical manifestation of the photobook based on the design.
A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 20/30 - ScenesScene-specific elements in albums, collections or shared content, e.g. social network photos or video
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
99.
IMAGE PRODUCT CREATION BASED ON FACE IMAGES GROUPED USING IMAGE PRODUCT STATISTICS
A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups.
A method of illuminating a subject during photography is disclosed. The method includes illuminating a background lighting system during a first image capture, illuminating a subject lighting system during a second image capture, and illuminating the background lighting system during a third image capture. The time from the first image capture to the third image capture is less than about 100 milliseconds. Also disclosed is a method for generating a composite mask of a subject, including receiving the three images, determining any movements of the subject between the first and third images, estimating an intermediate position of the subject during the second image, and generating a composite mask at the estimated intermediate position.
