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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: An image processing method is provided to be performed by an electronic device. The method includes: obtaining a target image including a text object, and determining a region proposal in the target image corresponding to the text object; obtaining region proposal feature information of the region proposal, and generating an initial mask according to the region proposal feature information; and restoring the initial mask to a target binary mask, determining a mask connection region in the target binary mask, and determining a text image region associated with the text object in the target image according to the mask connection region.

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.

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: An information processing device includes circuitry. The circuitry calculates a matching degree between two images of an image pair. The matching degree of the image pair is one of a plurality of matching degrees of a plurality of image pairs. The circuitry generates information on sameness between two image groups of an image group pair based on the plurality of matching degrees of the plurality of image pairs. The image group pair includes the plurality of image pairs.

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: Aspects for Long Short-Term Memory (LSTM) blocks in a recurrent neural network (RNN) are described herein. As an example, the aspects may include one or more slave computation modules, an interconnection unit, and a master computation module collectively configured to calculate an activated input gate value, an activated forget gate value, a current cell status of the current computation period, an activated output gate value, and a forward pass result.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate generating code for template specification in a quote to cash (Q2C) solution are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, a data model by specifying from a universal template which fields and attributes to include in the data model; mapping, by the system, external data into the data model; and generating, by the system, a code for template specification based on the data model, one or more business rules and a first code template.

Abstract: A system and method provide for automated evaluation of reference point pairs. For each of a set of reference point pairs in an input color space, a straight line connecting the reference points is sampled to generate a set of sampled points. Each of the set of sampled points in the input color space is converted to a sampled point in an output color space. For each of a set of color separations in the output color space, discontinuities are identified, based on the set of sampled points in the output color space. Candidate reference point pairs are identified in the set of reference point pairs for which at least one discontinuity is identified. The candidate reference point pairs can be validated by printing test sweeps, which are each derived from a respective set of sampled points in the output color space, and identifying contour artifacts in the printed test sweeps.

Abstract: A method for reacting to changes of items hanging on peg-hooks connected to pegboards may include: determining a location of a store shelf within a retail store; obtaining a first coverage parameter corresponding to a first product type and a second coverage parameter corresponding to a second product type; accessing a database to determine a first height of products of the first product type and a second height of products of the second product type; determining a position for placing a camera configured to capture images of at least a portion of the store shelf by analyzing the location of the store shelf, the first coverage parameter, the second coverage parameter, the first height, and the second height; and providing, to a user interface of a user device, information relating to the determined position of the camera.

Abstract: The technical problem of removing an object depicted in a selected region of an image to create a natural-looking edited image is addressed by providing systems, methods, and computer-readable storage media to perform automatic image inpainting. The method includes replacing the selected region using a color mask. A color mask can be generated using a mean color of pixels from a portion of the image that is distinct from and outside of the selected region.

Abstract: A mobile device can establish a communication with a separate device via a single function action such as bringing the devices near to each other. A method can include establishing a communication between a mobile device and a separate device a via a wireless link, presenting an instruction associated with the potential purchase and receiving, after the instruction is displayed and interpreted by the mobile device, a combination of a first type of input and a second type of input with the mobile device, at least one of which can be a security measure to prevent unauthorized purchase. The method includes retrieving the payment data from a memory of the mobile device and transmitting the payment data via the wireless link to the separate device to make a purchase.

Abstract: A method for generating productivity maps is provided. The method includes receiving a user input including boundaries of a geographical area and a date range; selecting, from databases of earth observation providers, based on a first criterion concerning a cloud amount, a first plurality of first images corresponding to the date range and covering at least partially the geographical area; selecting, from the first plurality of first images, based on a second criterion concerning the cloud amount, a second plurality of second images; determining, based on the second plurality of second images and a statistical criterion, a value of a vegetation index for a pixel in the geographical area to generate a plurality of values of the vegetation index; dividing, based on the plurality of values of the vegetation index, the geographical area into a set of clusters; and generating a map featuring the set of clusters.

Abstract: The disclosure relates to the detection of arthropods (beneficial insects and/or pests) in a region in which plants grow via a camera.

Abstract: Systems and methods for inspecting and cleaning a nozzle of a dispenser are disclosed. The systems may include a platform supporting a cleaning substrate. The cleaning substrate may have a plurality of hook structures configured to remove a material from the nozzle. The systems may also include a camera configured to capture an image of the nozzle and a controller configured to control the system. The methods may include providing a cleaning substrate having a plurality of hook structures, and moving at least one of the nozzle and the cleaning substrate relative to the other to remove a material from the nozzle. The methods may also include capturing an image of the nozzle after dispensing with a camera, processing the image to generate a value, utilizing the value to determine if the nozzle should be cleaned, and if the determination is that the nozzle should be cleaned, cleaning the nozzle.

Abstract: Systems and methods are provided to perform context-aware text extraction.

Abstract: The present disclosure provides a method, apparatus and system for identifying target objects. The method includes: clipping out a target image from an acquired image, wherein the target image involves a plurality of target objects to be identified that are stacked; adjusting a height of the target image to a preset height, wherein a height direction of the target image corresponds to a direction in which the plurality of target objects are stacked; extracting a feature map of the adjusted target image; segmenting the feature map in a dimension corresponding to the height direction of the target image to obtain a preset number of segment features; and identifying the target objects based on each of the preset number of segment features.

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: The present disclosure relates to a method for placing delivery information, an electronic device and a storage medium. The method includes: dividing a candidate video for placing the delivery information into a plurality of video frames; determining a plurality of key frames from the plurality of video frames based on a correlation degree of every two adjacent video frames; determining a target frame from the plurality of key frames based on existing conversion information corresponding to each of the plurality of key frames and sampling conversion information corresponding to the each of the plurality of key frames; and placing a delivery component corresponding to the target frame into the target delivery frame.

Abstract: One embodiment provides a user interface (UI) that permits users to select how point cloud colorings determined from multiple data sources are blended together in a rendering of a point cloud. The data sources may include photographic, label, and/or LIDAR intensity data. To improve frame rates, an aggregated point cloud may be generated using a spatial hash of a large set of points and sampling of each hash bucket based on the number of points therein and a user-configurable density. Sizes of points in the point cloud may decrease proportionally to distance from a viewer, but increase based on an activation function that enlarges points greater than a threshold distance from the viewer. In addition, luminance statistics for sub-regions of photographic data and dominant colors determined from photographic data may be used to automatically determine color properties to apply to a point cloud coloring.

Abstract: Systems, methods, and articles of manufacture for an internal private online marketplace are presented. Some embodiments described herein may include a method which may involve (1) identifying one or more items listed in one or more databases, and (2) generating a transfer protocol between the destination entity that desires to possess the one or more items with that of the source entity that possesses or has responsibility over the one or more items. The desired items may be identified by characteristics. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: An image processing apparatus includes a storage device to store a shading pattern in which a condition of gradation values of a target pixel and a plurality of pixels having a predetermined positional relationship with respect to the target pixel are set, a processor to acquire an multiple value image, generate a binary image from the multiple value image, detect a pixel satisfying the condition set in the shading pattern from the multiple value image as a part of a shading, a generate a shading removal pattern for removing the detected shading, based on the multiple value image, generate a shading removal image by applying the shading removal pattern to the binary image, and an output device to output the shading removal image or information generated using the shading removal image.