Abstract: A device may receive receipt information associated with items in an order. The receipt information may include item identifiers and price descriptors associated with the items in the order. The device may receive product information associated with the items in the order. The product information may include product identifiers based on images of the items in the order and object descriptors. The device may map a first item identifier for a first item in the order and a first product identifier for determining that the first item corresponds to a first price descriptor and a first object descriptor. The device may map a second item identifier for a second item in the order and a second product identifier for determining that the second item corresponds to a second price descriptor and a second object descriptor. The device may assign the first and second items to respective first and second sub-receipts.

Abstract: A vehicular vision system includes a camera disposed at a vehicle and capturing image data. The system, via processing at an electronic control unit (ECU) of image data captured by the camera, detects an object at a first orientation relative to camera. A first local binary pattern represents in binary form a first portion of the image data that includes the detected object. The system detects the object at a second orientation relative to camera. A second local binary pattern represents in binary form a second portion of the image data that includes the detected object. The second orientation is different from the first orientation and the second local binary pattern is different than the first local binary pattern. The system groups the first and second local binary patterns into a common histogram bin. The system classifies the detected object based at least in part on the common histogram bin.

Abstract: Systems, devices, and methods related to a deep learning accelerator and memory are described. For example, a removable media (e.g., a memory card, or a USB drive) may be configured to execute instructions with matrix operands and configured with: an interface to receive a video stream; and random access memory to buffer a portion of the video stream as an input to an artificial neural network and to store instructions executable by the deep learning accelerator and matrices of the artificial neural network. Such a removable media can be used to replace an existing removable media used in a surveillance camera to record video or images. The deep learning accelerator can execute the instructions to generate analytics of the buffer portion using the artificial neural network, enabling the surveillance camera that is upgraded via the use of the removable media to provide intelligent services based on the analytics.

Abstract: A method and an apparatus for detecting key points of a human body, and a storage medium are provided. The method includes: extracting, in response to detecting that an image comprises a body, two-dimensional (2D) coordinate data for identifying body keypoint positions in the image to obtain 2D pose data; and performing body keypoint feature fusion on the 2D pose data and depth data corresponding to the body keypoint positions to obtain three-dimensional (3D) pose data for identifying the body keypoint positions.

Abstract: A system and method for providing payments is disclosed. A method can include establishing a wireless link between a mobile device and a merchant device. After an instruction is displayed on the mobile device, a combination of a first type of input and a second type of input are received on the mobile device, first type of input including at least one button press of a physical button and the second type of input received from a user to confirm a payment for the purchase. Based on the inputs, payment data is retrieved from a memory of the mobile device. The method includes receiving the payment data at the merchant device to make the purchase, wherein receiving the payment data, via the wireless link, at the merchant device to make the purchase is performed according to a protocol for communicating the payment data to the merchant device.

Abstract: In implementations of three-dimensional vector-based brushes, a computing device implements a brush system to receive input data describing a first stamp and a second stamp of consecutive stamps of a vector-based digital brush. The first stamp is segmented into a first convex geometry and a second convex geometry, and the second stamp is segmented into a third convex geometry and a fourth convex geometry. The brush system computes a first convex hull of the first convex geometry and the third convex geometry and computes a second convex hull of the second convex geometry and the fourth convex geometry. An order for passing the first convex hull and the second convex hull to a planarizer is determined and the brush system generates a vector-based stroke of digital paint for display in a user interface based on the order.

Abstract: Technology is described for generating a modified logo using popular colors of a logo file to be used in electronic promotional pages. In addition, options selected by a user, the color of the logo itself and attributes of the electronic promotional pages can be used to filter electronic promotional pages provided. One method may be the operation of detecting a hue, saturation and luminance (HSL) in pixels of a logo file. Another operation may be clustering of the pixels from the logo file into groups based on hue, saturation and luminance (HSL). The colors in the color clusters may be weighted based on area of the logo file occupied by a color. Colors that exceed a defined weighting percentage may be selected as a popular color. Any repeated popular colors may be removed. Then a modified logo may be generated using the popular color selected.

Abstract: A method to improve the efficacy of optical character recognition (OCR) includes scanning an electronically stored representation of a whole or partial document, identifying an image having text in the electronically stored representation of a whole or partial document, identifying the text within the image, and generating a plurality of bounding boxes around the identified text using blob detection. The method also includes grouping together certain text bounding boxes of the plurality of text bounding boxes that are vertically aligned with each other to generate a plurality of aligned text bounding boxes and performing OCR on the aligned text bounding boxes to generate a plurality of OCR groups of text. In addition, the method includes generating a resultant representation of a whole or partial document electronically using the plurality of OCR groups of text and saving the resultant representation of a whole or partial document electronically.

Abstract: The present invention relates to a method for classifying a fundus image and a device using same. Specifically, according to the method of the present invention, a computing device acquires a fundus image of a subject, generates classification information of the fundus image, generates an interpretation text on the basis of the classification information, and provides the interpretation text to an external entity.

Abstract: Disclosed are a system and process of providing social networking purchasing processes. A method includes receiving, from a posting entity and at the social networking entity, a posting or a submission of a text, an image or a video. When the submission is associated with a product within a product catalog of the posting entity, the social networking entity presents in a newsfeed of users or otherwise on the social networking entity, the text, image or video with an associated option to buy. The option to buy might be presented through a messenger application or as the user browses the posting. When there is a correlation between the posting and the product catalog, and when the user makes a purchase of the product, the user is not transitioned away from the social networking entity. Initiating a payment process occurs within the social networking entity.

Abstract: An illumination apparatus irradiates first reference light having a first intensity distribution and second reference light having a second intensity distribution that has a complementary relation with the first intensity distribution. A photodetector measures reflected light from an object. A processing device executes a first correlation calculation using a first detection intensity based on the output of the photodetector in a state in which the first reference light is irradiated and the second intensity distribution, and executes a second correlation calculation using a second detection intensity based on the output of the photodetector in a state in which the second reference light is irradiated and the second intensity distribution.

Abstract: A display control apparatus includes a change unit configured to change amount of application of a predetermined effect which is to be applied to a selected subject from a plurality of subjects, and a control unit configured to perform control to display a first item which makes the selected subject distinguishable from other subjects, wherein, in response to the change unit starting changing amount of application of the predetermined effect, the control unit performs control not to display the first item.

Abstract: Method and apparatus are disclosed for collective electronic commerce and distribution of items, such as fungible items/goods and non-fungible items/goods. A system manages a universal ecommerce shopping cart to facilitate creating an itinerary for a group across multiple vendor websites/applications. The systems manages inventory to interface with multiple vendors, manages groups, and/or manages the assignment of fungible items (e.g., products) and non-fungible items (e.g., tickets, access to hotel rooms, etc.) that were selected for being purchased at different times.

Abstract: There are provided systems and methods for dynamically rendered interface elements during online chat sessions. A user may engage in online communications with another user, such as a communication session between a customer and a customer representative or agent of a merchant. During this communication session, the agent may navigate to particular data on the agent's device, which may be desirable to provide to the customer. For example, the agent may view a particular item of interest to the customer. An application programming interface of the merchant may detect one or more actions or calls associated with this data and may dynamically provide an interface element to transmit data displayed on the agent's device to the customer's device during the communication session. The customer may view a dynamically rendered interface element that allows for processing data during the communication session with the agent.

Abstract: There are provided an image processing device, an image processing method, a program, and a portable terminal device which more accurately extract a user's region of interest from an image with fewer operations. The object is solved by an image processing device which divides an acquired image into a plurality of regions, selects at least one region from among the plurality of divided regions, analyzes a relationship between the selected region and a region other than the selected region, and outputs a grouping candidate for a region belonging to the same group as the selected region from the analyzed relationship.

Abstract: Disclosed is a method including receiving at a user device a scan of a code, initiating on the device, based on the code, a communication with a server, receiving, based on the communication and from the server, a download of a user interface, the download being independent of a full application stored on the user device, transmitting, via the software module, an identification, received from the user, of a function to perform in connection with the code, transmitting location data associated with the user device to the server and transmitting authorized data to the server based on data retrieved from either the user device or a network entity. The user can scan product codes or rental codes in the store or on a device like a scooter and receive the interactive interface for performing a function. The process eliminates the need for point of sale equipment and eliminates checkout lines.

Abstract: The technology described herein visibly depicts hidden message traits to help users determine whether an email is genuine or deceptive. The hidden message traits are revealed by identifying and changing attributes that keep the hidden traits from being displayed in a rendered message. Spam messages, phishing messages, and messages that include or link to malicious programs (e.g., malware, ransomware) are examples of unwanted messages that can harm a recipient. These messages often rely on deception to get past email filtering systems and to trick a user into acting on content in a message. The deception often involves including hidden traits in a message that fool an automated filtering system. The technology described herein shows the visible traits to a user by including them in the rendered version of the message.

Abstract: A system for identifying products in a retail store is provided. The system may include a processor configured to: receive an image depicting a store shelf and a product displayed thereon; select a product model subset based on a characteristic of the store shelf determined based on analysis of the image; determine whether the product model subset is applicable to the product; and when the product model subset is applicable to the product, analyze a representation of the product depicted in the image using the product model subset, and identify the product based on the analysis of the representation of the product.

Abstract: Disclosed is a web 3.0 orchestration system that creates a token economy through which customers are able to establish relationships and purchase physical and digital goods and services from any merchant at any place without having to access the physical or digital storefront of the merchant. The orchestration system may receive a triggering event from a user device, may compile user data from user profiles that are associated with the user device, and may select a distributed set of smart contracts defined by different merchants based on the triggering event. The orchestration system may execute the distributed set of smart contracts using the user data as inputs, may select offerings from a set of merchants based on the output generated from executing the smart contracts, and may present the offerings to the user device as part of facilitating a transaction between the user device and any of the merchants.

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.

Abstract: An information processing system, which determines a partial area used in an erectness determination which determines whether a determination target image is erect based on a determination feature in the partial area in an image having a predetermined format and a position of the partial area in a state in which the image having the predetermined format is erect, includes processor to receive input of a plurality of learning images having the predetermined format, extract area common to the plurality of learning images in an erect state as a candidate for the partial area, determine common area reliability indicative of a degree to which the candidate for the partial area is suitable as the partial area used in the erectness determination, and determine the partial area used in the erectness determination from the candidate for the partial area, based on the common area reliability.

Abstract: A defective part recognition device includes a microscope for obtaining a magnified image of a unit area for recognizing a defective part on the surface of a multi-layer film substrate; a spectral camera having an imaging surface where the magnified image is formed; and an information processing part for processing the spectrum information from the spectral camera. The information processing part includes a machine learning part for a clustering process on the spectrum information for each pixel, and a defect recognition part for recognizing a defective part from the result of the machine learning part. The machine learning part sets a cluster in the unit area and generates a histogram with a frequency, the number of pixels clustered into the cluster. The defect recognition part compares the frequency distribution of the generated histogram with that of a histogram free of defects and recognizes a defective part.

Abstract: An image processing apparatus includes a movement estimation unit that estimates, on the basis of a first timestamp provided to an image captured by synchronous scanning, an event signal generated corresponding to an intensity change of light at one or a plurality of pixels of the image, and a second timestamp that is provided to the event signal and is in synchronism with the first timestamp, a movement of an imaging target in the image, an inverse filter generation unit that generates an inverse filter on the basis of the movement, and a filter application unit that applies the inverse filter to the image.

Abstract: Provided in embodiments of the present disclosure are an image display method and apparatus, a computer readable storage medium, and an electronic apparatus. The image display method is applied to a terminal, and the method includes: separating a target image into a plurality of image layers, wherein the plurality of image layers at least includes a first image layer and a second image layer; adjusting an image layer parameter of at least one of the first image layer and the second image layer according to a relative relationship between the first image layer and the second image layer; and displaying the target image according to at least one of the first image layer and the second image layer of which the image layer parameter is adjusted.

Abstract: An image object classification method and system are disclosed. The method is executed by a processor coupled to a memory. The method includes: providing an image file including at least one image object, performing a process of extracting multiple binary-classified characteristics on the image object to obtain a plurality of first results independent of each other in categories, combining the plurality of first results in a manner of dimensionality reduction based on concatenation, performing a process of characteristics abstraction on the combined first results to obtain a second result, and performing a process of characteristics integration on the plurality of first results and the second result in a manner of dot product of matrices to obtain a classification result.

Abstract: The embodiments of the present disclosure disclose a method and apparatus for processing a mouth image. A specific embodiment of the method includes: obtaining a mouth image to be processed (201); inputting the mouth image into a pre-trained mouth detection model to obtain an output result information, wherein the output result information is used for representing a probability that a content displayed by a pixel point in the mouth image belongs to a class in a target class set (202), the target class set comprising at least one of a first class for representing teeth, a second class for representing mouth illumination, and a third class for representing lips; and processing the mouth image according to the output result information to obtain a processed mouth image (203). The method achieves pixel point-level processing of the mouth image.

Abstract: Provided is an apparatus for online action detection, the apparatus including a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video, a filtering unit configured to perform filtering on the chunk-level feature, and an action classification unit configured to classify an action class using the filtered chunk-level feature.

Abstract: A data ingestion system normalizes ingested documents and extracts data based on a template that is applied to the documents. In an aspect, the system accesses a document of a document type and determines a template to apply to the document. The system normalizes the document, extracts data values from the document based at least in part on the template, and generates structured data based at least partly on the extracted data.

Abstract: Methods and systems for facilitating the purchase of an item on a social networking website are described. Merchants can embed payments in buttons displayed on social networking websites to enable payments at the point of discovery, such as on Pinterest® or Facebook®. As the items associated with the buttons are shared further, the embedded payment capability follows the shared items. For example, a Pinterest® pin has the payment capability embedded within it so as the pin gets re-pinned in the Pinterest® platform, shared on blogs, shared on platforms like Facebook®, or surfaces on Google® Search, the payment capability is also available on those platforms. In some instances, open standards such as oEmbed or Open Graph are used to create the buttons with the payment capability and make creation of the buttons simpler for merchants.

Abstract: A plurality of subimages of an image are generated based on output from a random number generator. Each subimage is input to a machine learning program trained to output an object classified in the subimage. When a number of subimages with a same classified object exceeds a threshold, an object in the image is identified as the classified object.

Abstract: Disclosed are a system and process of providing social networking purchasing processes. A method includes receiving, from a posting entity and at the social networking entity, a posting or a submission of a text, an image or a video. When the submission is associated with a product within a product catalog of the posting entity, the social networking entity presents in a newsfeed of users or otherwise on the social networking entity, the text, image or video with an associated option to buy. The option to buy might be presented through a messenger application or as the user browses the posting. When there is a correlation between the posting and the product catalog, and when the user makes a purchase of the product, the user is not transitioned away from the social networking entity. Initiating a payment process occurs within the social networking entity.

Abstract: Reducing the number of parameters in a visual parameter set based on a sensitivity analysis of how a given visual parameter affects the performance of a computer vision model to provide a verification parameter set having a reduced size.

Abstract: An image processing method includes: extracting a red, green and blue channel image and a white channel image from a target image; determining a first gray-scale component image of the red, green and blue channel image, and determining a second gray-scale component image of the white channel image; determining first decomposed sub-band information of the first gray-scale component image, and determining second decomposed sub-band information of the second gray-scale component image; determining third decomposed sub-band information according to the first decomposed sub-band information and the second decomposed sub-band information; performing image reconstruction according to the third decomposed sub-band information to obtain a third gray-scale component image, and constructing a color image corresponding to the target image according to the third gray-scale component image. An apparatus and storage medium incorporate the image processing method.

Abstract: Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or color space conversions are provided. In various embodiments, a color space of an object is altered based on a movement of the object in relation to an environment. The environment may include two or more segments with a distinct environment color space in relation to one another. The object may transition from one of the two or more environment segments into the other one of the two or more segments. The alteration is based on the transition from the color space of the one of the two or more environment segments into the other one of the two or more environment segments.

Abstract: A message management platform receives API payloads including past confirmed transactions carried out by an application builder platform and available item offerings of an application operator. The message management platform launches, at an instant messaging platform, a chat session between an agent and a user, a subscriber to the message management platform and an end-user of the application operator. The message management platform displays, for the agent, at the instant messaging platform, the past confirmed transactions of the user and the available item offerings of the application operator. The message management platform receives a selection of a set of items from the agent based on the chat session with the user and creates a virtual instance of a shopping cart representation. The message management platform generates a materialization link of the shopping cart and transmits the materialization link to the user through the instant messaging platform.

Abstract: An image processing component is provided. The apparatus includes: a display control configured to display an image to be edited in a first region of a display region or display a target image obtained from an image to be edited; an automatic image processing control configured to enter an automatic mode in response to a first control instruction; and a manual image processing control configured to enter a manual mode in response to a second control instruction. In the automatic mode and/or manual mode, the electronic device can switch between different graph repairing functions in response to a function switching instruction.

Abstract: Disclosed is a nighttime road fog detection system. More specifically, the present invention relates to a nighttime road fog detection system which rapidly and accurately detects the time of occurrence of nighttime fog that occurs at dawn before sunrise using open information of closed-circuit television (CCTV) cameras installed on a road and a detection method thereof. According to an embodiment of the present invention, in a mapping image obtained by masking a fog region identified by a fog detection program on an image signal, a region incorrectly determined due to a whitening phenomenon caused by an external light source generated at night is corrected, and thus information about the fog region is more accurately provided.

Abstract: Methodology of unwrapping of phase from an optical image in the presence of both noise and unreliable phase fringes configured to tackle both problems simultaneously and, in the most efficient of multiple related implementations, including at least three prongs: i) SD-ROM based denoising procedure, ii) reliable estimation of the gradient of both the wrapped and unwrapped phase with the use of the forward and inverse Laplacian operators; and iii) fringe quality improvement with the use of Fuzzy Logic based Edge Detection. Transformation of optical images with the use of such methodology to provide an image representing visually-perceivable representation of the object's shape. Computer program product configured to implement the same.

Abstract: Systems, methods, and software described herein to manage preferences for video search. In one implementation, a video processing service may receive a request for video data that satisfies one or more criteria, wherein the one or more criteria includes at least one color for an object. In response to the request, the video processing service may identify one or more secondary colors associated with the at least one color and update the one or more criteria to include the one or more secondary colors. The video processing service may then select the video data from a video source that satisfies the updated one or more criteria.

Abstract: An apparatus for white balance editing, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain an input image having an original white balance that is corrected by image signal processing, and obtain, using a first neural network, an intermediate representation of the obtained input image, the intermediate representation having the original white balance that is not corrected by the image signal processing. The at least one processor is further configured to execute the instructions to obtain, using a second neural network, a first output image having a first white balance different than the original white balance, based on the obtained intermediate representation.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for analysis of images including wearable items. For example, a method may include obtaining a first set of images, each of the first set of images depicting a product; obtaining a first set of labels associated with the first set of images; training an image segmentation neural network based on the first set of images and the first set of labels; obtaining a second set of images, each of the second set of images depicting a known product; obtaining a second set of labels associated with the second set of images; training an image classification neural network based on the second set of images and the second set of labels; receiving a query image depicting a product that is not yet identified; and performing image segmentation of the query image and identifying the product in the image by performing image analysis.

Abstract: A model generation method includes updating, by at least one processor, a weight matrix of a first neural network model at least based on a first inference result obtained by inputting, to the first neural network model which discriminates between first data and second data generated by using a second neural network model, the first data, a second inference result obtained by inputting the second data to the first neural network model, and a singular value based on the weight matrix of the first neural network model. The model generation method also includes at least based on the second inference result, updating a parameter of the second neural network model.

Abstract: Disclosed are a system and process of providing social networking purchasing processes. A method includes receiving, from a posting entity and at the social networking entity, a posting or a submission of a text, an image or a video. When the submission is associated with a product within a product catalog of the posting entity, the social networking entity presents in a newsfeed of users or otherwise on the social networking entity, the text, image or video with an associated option to buy. The option to buy might be presented through a messenger application or as the user browses the posting. When there is a correlation between the posting and the product catalog, and when the user makes a purchase of the product, the user is not transitioned away from the social networking entity. Initiating a payment process occurs within the social networking entity.

Abstract: An electronic apparatus performs a method of representing a 3D shape that includes: dividing a 3D space enclosing the 3D shape into a plurality of 3D spaces with a hierarchical octree structure; generating local implicit functions, and each of the local implicit functions corresponds to a respective 3D space of the plurality of 3D spaces; and reconstructing a representation of the 3D shape from the local implicit functions with the hierarchical octree structure. In some embodiments, the 3D space is recursively subdivided into the child octants according to the surface occupancy and richness of the geometry of the 3D shape, and a respective local implicit function is generated corresponding to a geometry of a part of the surface.

Abstract: Disclosed is a method for classifying hyperspectral images on the basis of an adaptive multi-scale feature extraction model, the method comprising: establishing a framework comprising the two parts of a scale reference network and a feature extraction network, introducing a condition gate mechanism into the scale reference network, performing determination step-by-step by means of three groups of modules, inputting features into a corresponding scale extraction network, deep mining rich information contained in a hyperspectral remote sensing image, effectively combining features of different scales, improving a classification effect, and generating a fine classification result map.

Abstract: Various embodiments each include at least one of systems, devices, methods, and software for multi-camera simultaneous imaging for multiple processes. Some such embodiments may be embodied in a dedicated appliance or chip while other embodiments may be embodied in a product scanner, in software, or in a combination of hardware and software. One method embodiment includes receiving images from a plurality of cameras, the images from each device captured at various illumination and exposure levels. This method then sorts the images based on illumination and exposure levels for distribution to a plurality of image processing services that each perform at least one task with regard to a received image and then presents the images to respective services for which they are sorted.

Abstract: Techniques to temporally filter images via a filtering weight computation are disclosed. A first image having a first timestamp and a second image having a second timestamp are acquired. These images are generated by a camera, and the first timestamp is before the second timestamp. A motion compensation (MC) operation is performed on the first image to produce an MC image. A difference image is generated using the MC image and the second image. The difference image reflects differences in intensities that exist between the two images. A local weight map is generated based on those differences. A global weight map is generated based on certain IMU data. A final weight map is generated based on a combination of the local weight map and the global weight map. The final weight map is used to generate a filtered image.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for determining a sub-set of user-submitted images that are similar to a curated image and presenting the sub-set of user-submitted images in connection with the curated image. The disclosed system presents a curated image depicting a product via a graphical user interface (e.g., on an e-commerce platform). In one or more embodiments, the disclosed system extracts feature vectors from the curated image and a plurality of user-submitted images. The disclosed system compares the feature vectors from the curated image and the plurality of user-submitted images to determine a sub-set of user-submitted images that are similar to the curated image. The disclosed system presents the sub-set of user-submitted images based on a user selection of the curated image.

Abstract: An example system is described herein. The example system may include an inspection device comprising at least one image capture device, the at least one image capture device configured to capture a reference image of a sheet part. Additionally, the example system may include a processing unit configured to identify at least one primary point in the reference image and identify at least one secondary point in a mask image. The processing unit may transform the mask image based on the at least one primary point and the at least one secondary point. The processing unit may apply the transformed mask image to the reference image to identify an inspection region within the reference image, process the inspection region of the reference image to determine the quality of the sheet part, and output information indicative of the quality of the sheet part.

Abstract: The objective of the present invention is to provide customized cosmetics personalized for individual users. According to one embodiment of the present invention, a customized cosmetics provision system can comprise: a diagnosis device for diagnosing a skin condition, recommending customized cosmetics on the basis of the diagnosis result of the skin condition, and transmitting, to a manufacturing device, information on the customized cosmetics having been recommended; and the manufacturing device for receiving information on the customized cosmetics from the diagnosis device, and providing customized cosmetics on the basis of the information on the customized cosmetics having been received.