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 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: 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: 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: 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: Provided are an image discrimination apparatus, an image discrimination method, a program of the image discrimination apparatus, and a recording medium on which the program is stored, for relatively simply discriminating between “a person image” and “a non-person image” in consideration of an intention of an album maker or the like. A user sets a reference value for a reference item by adjusting a position of a slide on a slide bar. In a case where the reference value is set at a position P11, a discrimination target image I11 is discriminated as a person image, but discrimination target images I12 and I13 are discriminated as non-person images. In a case where the reference value is set at a position P12, the discrimination target images I11 and I12 are discriminated as person images, and the discrimination target image I13 is discriminated as a non-person image.

Abstract: A method includes: recording an image at a sensor block, the sensor block; detecting a set of objects in the image based on an object classification model; generating a feature vector for the image based on the set of objects; accessing a workstation template for the work area, the workstation template defining a set of default objects for each workstation in the work area; identifying a subset of objects comprising an intersection of the set of default objects and the set of objects; removing the subset of objects from the feature vector; accessing an occupancy template for the work area, the occupancy template defining a set of significant objects; classifying the workstation as occupied based on the feature vector and the set of significant objects; and rendering a representation of the workstation at a work area interface, the representation indicating occupancy of the workstation.

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.

Abstract: Techniques and systems are provided for light estimation. In some examples, a system receives a plurality of frames associated with a scene. The plurality of frames includes a first frame and a second frame occurring after the first frame. The system determines, based on image data of the first frame, a first light estimate associated with the scene. The system also determines, based on image data of the second frame, a second light estimate associated with the scene. The system further generates an aggregate light estimate associated with the scene based on combining the second light estimate with at least the first light estimate.

Abstract: Embodiments of the disclosure provide a method for generating a dynamic image, an electronic device for the same and a storage medium for the same. The electronic device obtains a video based on a trigger operation. The electronic device obtains images of the video by separating the images an audio data of the video. The images include first images and second images. The electronic device obtains target images by processing the first images. Each of the target images does not contain the target object. The electronic device generates the dynamic image based on the images and the target images.

Abstract: A method for product compliance includes receiving, at data processing hardware, a planogram defining a representative placement of a product on a display shelf and receiving at least one image from an imaging device having a field of view arranged to capture a top surface of the display shelf. The method also includes determining whether the product is disposed on the display shelf based on the at least one image. When the product is disposed on the display shelf, the method includes determining an actual placement of the product on the display shelf and comparing the actual placement of the product to the representative placement of the product defined by the planogram. The method further includes determining a planogram compliance based on the comparison of the actual placement of the product to the representative placement of the product and communicating the planogram compliance to a network.

Abstract: Systems and methods for iris authentication are disclosed. In one aspect, a deep neural network (DNN) with a triplet network architecture can be trained to learn an embedding (e.g., another DNN) that maps from the higher dimensional eye image space to a lower dimensional embedding space. The DNN can be trained with segmented iris images or images of the periocular region of the eye (including the eye and portions around the eye such as eyelids, eyebrows, eyelashes, and skin surrounding the eye). With the triplet network architecture, an embedding space representation (ESR) of a person's eye image can be closer to the ESRs of the person's other eye images than it is to the ESR of another person's eye image. In another aspect, to authenticate a user as an authorized user, an ESR of the user's eye image can be sufficiently close to an ESR of the authorized user's eye image.

Abstract: A method for maintaining inventory within a store includes: accessing an image (e.g., a color image, depth image) depicting an inventory structure; detecting a slot region of the image depicting a slot; identifying a product type assigned to the slot; accessing a product dimension of the product type; defining a target region within the slot in the image based on the product dimension; defining a product region within the slot in the image based on the product dimension and the target region; defining a back-of-shelf plane intersecting the target region of the image; detecting a surface within the product region; and, in response to the surface intersecting the back-of-shelf plane, identifying the slot as empty and generating a prompt to restock the slot with product units of the product type.

Abstract: A method for providing similar or related products based on deep-learning, which is performed by a data processing unit of a shopping mall server, includes: acquiring an item image and item information for an item registered in a shopping mall; detecting bounding boxes for one or more objects by object-detecting the item image; setting a bounding box for an object associated with the item based on the item information; creating a main bounding box image by cropping a portion of the item image in the set bounding box; creating a padding image by padding-processing the main bounding box image; extracting a feature vector for the padding image; matching the feature vector with the item and storing the feature vector in a database; and creating the database for a similar or related product search service.

Abstract: Method for selecting an elastic venous restraint orthosis intended to be slipped onto a lower limb of a patient. Acquisition of a photograph representing the skin of the limb and a calibration map including one or more calibration zones. The calibration map is placed on the limb in a position termed the “acquisition position.” Calibration of the photograph by the calibration zone or zones, in such a way that the representation of the skin on the photograph exhibits a calibrated colour. Selection, as a function of the calibrated colour, by computer and from a set of colours of a tone chart, of a tone chart colour, preferably of the tone chart colour closest to the calibrated colour, termed the “optimal colour,” and then determination, by computer, of an orthosis colour as a function of the tone chart colour selected. Selection of an orthosis exhibiting the orthosis colour.

Abstract: A system for detecting and tracking objects using lidar can include one or more processors configured to receive lidar data. The one or more processors can determine shape data from the lidar data. The shape data can be indicative of an object. The one or more processors can determine a plurality of extents of the object based on the shape data. The one or more processors can update a state of the object based on the plurality of extents, the state including a boundary of the object. The one or more processors can provide the state of the object to an autonomous vehicle controller to cause the autonomous vehicle controller to control an autonomous vehicle responsive to the state of the object.

Abstract: In one embodiment, a method includes receiving sensor data of an environment of the vehicle generated by one or more sensors of the vehicle, the sensors comprising a camera, identifying, based on the sensor data, one or more objects in a field of view of the camera and one or more object types that correspond to the one or more objects, determining one or more target histograms that correspond to the object types, generating a processed image based on an image captured by the camera, wherein the processed image has a histogram based on the target histograms, and using the processed image to determine state information associated with the objects. The processed image may be generated by processing the image captured by the camera using a histogram matching algorithm to generate the histogram of the processed image based on the target histograms.

Abstract: A method for identifying a logo within at least one image includes identifying an area containing the logo within the at least one image, extracting logo features from the area by analyzing image gradient vectors associated with the at least one image, and using a machine learning model to identify the logo from the extracted logo features, wherein the machine learning model is trained to identify at least one target logo based on a received image data containing the logo features.

Abstract: Embodiments of the invention utilize a feature-extraction approach and/or a matching approach in combination with a nonparametric approach to estimate the proportion of documents in each of multiple labeled categories with high accuracy. The feature-extraction approach automatically generates continuously valued text features optimized for estimating the category proportions, and the matching approach constructs a matched set that closely resembles a data set that is unobserved based on an observed set, thereby improving the degree to which the distributions of the observed and unobserved sets resemble each other.

Abstract: Personal equipment detection may utilize pose-based detection. Input image data may be evaluated to detect persons in the image data. For detected persons, regions of the persons may be determined. Personal equipment may be detected for the detected persons in the image data and compared with the regions of the persons to determine whether the detected personal equipment is properly placed on the person.

Abstract: A portable terminal includes an extraction unit and a display control unit. The extraction unit extracts a part of a display image displayed on a touch panel display, as an extraction image used as a compositing target image. The display control unit, in a case where a plurality of regions having different areas are included in the extraction image used as the compositing target image, removes at least one of the plurality of regions in order of area based on an operation amount of an operation input by a user.

Abstract: An electronic device and method for human skin detection based on a human body-prior is provided. A color image of a person is acquired, and a 3D body model of the person is estimated based on the color image. One or more unclothed parts of the 3D body model are identified. The one or more unclothed parts correspond to one or more body parts, of which at least a portion of skin remains uncovered by clothes. From the color image, pixel information corresponding to the one or more unclothed parts is extracted and classification information is determined based on the pixel information. The classification information includes a set of values, each indicating a likelihood of whether a corresponding pixel of the color image is part of an unclothed skin portion of the person. The unclothed skin portion is detected in the color image based on the classification information.

Abstract: According to embodiments of the present disclosure, methods of and computer program products for operating a plurality of classifiers are provided. A plurality of input entities are read, each input entity having an associated target label. The input entities are provided to a first classifier, and a category of each input entity is obtained therefrom. A feature map is determined for each input entity. Each feature map is provided to each of a set of classifiers, and an assigned label is obtained for each feature map from each of the set of classifiers. Each classifier is associated with one of the categories. For each classifier, the assigned label for each feature map is compared to the target labels to determine a plurality of gradients. The plurality of gradients are masked according to each category, yielding a masked set of gradients for each category. Each classifier is trained according its associated masked gradients.

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: 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: A system for facilitating e-commerce transaction is disclosed. The system includes a request receiving module to enable the interactive support agent platform to receive order requests from a customer. The system includes an order placement module to identify a merchant from a merchant database based on the order requests corresponds to the customer specific merchandise or service request and enable the interactive support agent platform to select products from a catalogue of an identified merchant based on the order requests. The system includes a checkout processing module to enable the interactive support agent platform to share a checkout page with the customer via a communication medium based on selected products corresponds to the identified merchant and perform a checkout process by transmitting billing and shipping information via a secure checkout page rendered within a chat window, a browser or the user interface corresponding to the interactive support agent platform.

Abstract: A method of detecting frames in a video that demarcate a pre-determined type of video segment within the video is provided. The method includes identifying visually distinctive candidate marker frames within the video, grouping the candidate marker frames into a plurality of groups based on visual similarity, computing a collective score for each of the groups based on temporal proximity of each of the candidate marker frames within the group to related events occurring within the video, and selecting at least one of the groups based on the collective proximity scores as marker frames that demarcate the pre-determined type of video segment. A video processing electronic device and at least one non-transitory computer readable storage medium having computer program instructions stored thereon for performing the method are also provided.

Abstract: Methods, an apparatus, and software media are provided for removing unwanted information such as moving or temporary foreground objects from a video sequence. The method performs, for each pixel, a statistical analysis to create a background data model whose color values can be used to detect and remove the unwanted information. This includes determining a prevalent color cluster from among k clusters of color values for the pixel in successive frames. The method uses k-means clustering. To replace the unwanted information, the method iterates frames to find frames in which a pixel's color value is not included in the prevalent color cluster. In those frames, it replaces the pixel's color value with a value from the prevalent color cluster.

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: The present invention discloses a system for automated vehicles license plates characters segmentation and recognition comprising an imaging processor connected to at least one image grabber module or camera. The image grabber module captures images of the vehicles and forwards it to said connected imaging processor and the imaging processor segments and recognizes the vehicles license plates character region including the region with deformed license plates characters in the captured vehicle images by involving binarization of maximally stable external regions corresponding to probable license plate region in the captured vehicle images.

Abstract: A verifiable display is provided that enables the visual content of the display to be detected and confirmed in a variety of ambient lighting conditions, environments, and operational states. In particular, the verifiable display has a display layer that is capable of visually setting an intended message for human or machine reading, with the intended message being set using pixels. Depending on the operational condition of the display and the ambient light, for example, the message that is actually displayed and perceivable may vary from the intended message. To detect what message is actually displayed, a light detection layer in the verifiable display detects the illumination state of the pixels, and in that way is able to detect what message is actually being presented by the display layer.

Abstract: A processor obtains an input image containing both bright and dark regions. The processor obtains a threshold between a first pixel value and a second pixel value of the display. Upon detecting a region of the input image having an original pixel value above the threshold, the processor can create a data structure including a location of the region in the input image and an original pixel value of the region. The data structure occupies less memory than the input image. The display presents the input image including the region of the image having the original pixel value above the threshold. The processor sends the data structure to a camera, which records the presented image. The processor performing postprocessing obtains the data structure and the recorded image and increases dynamic range of the recorded image by modifying the recorded image based on the data structure.

Abstract: A method for controlling a terminal apparatus includes acquiring a first gesture image; determining a central coordinate of a gesture in the first gesture image; determining a controlling range in which the gesture has control over the terminal apparatus, based on the central coordinate of the gesture in the first gesture image; and controlling a control object in the controlling range to execute an operation based on a control instruction corresponding to the gesture.

Abstract: A system for processing encoded image components for artificial intelligence tasks. The system can include one or more compute units, one or more controllers and memory. The one or more controllers can include one or more micro-op schedulers and one or more channel switches. The one or more compute units can be configured to process components of the transformed domain image data according to one or more micro-operations for an artificial intelligence task. The one or more channel switches can be configured to selectively control the transfer of the components of transformed domain image data to the one or more compute units based on one or more gating flags. The one or more channel switches can also be configured to selectively control generation of the one or more micro-operations by the one or more micro-op schedulers based on the one or more gating flags.

Abstract: An in-memory graph query runtime is integrated inside a database management system and is capable of performing simple patter-matching queries against homogeneous graphs. The runtime efficiently combines breadth-first (BFS) and depth-first (DFS) neighbor traversal algorithms to achieve a hybrid runtime that takes the best from both sides. As a result, the hybrid runtime is able to process arbitrarily large queries with a fixed amount of memory, optimizing for memory locality.

Abstract: An apparatus includes: a display control unit that displays a UI screen for performing a predetermined process, the UI screen being a screen where unit blocks each assumed as a single continuous character string in a scan image are displayed to be selectable by the user; an OCR process unit that performs an OCR process on unit blocks selected by the user through the UI screen to thereby extract character strings; and a setting unit that sets incidental information for the predetermined process by using the character strings extracted by the OCR process unit. The display control unit separates a character string satisfying a predetermined separation condition among the character strings extracted by the OCR process unit from the unit blocks selected by the user, and displays the separated character strings on the UI screen such that the separated character strings are selectable by the user.

Abstract: An information processing device (100) includes a memory and processing circuitry. The memory stores a data set (DG) including multiple items of digital data (DD) and a label set (RG) including multiple labels. Each of the multiple labels are added to each of the multiple items of digital data (DD). The processing circuitry generates a feature vector set (BG) by extracting a predetermined feature from each of the multiple items of digital data (DD) and generating feature vectors indicating the extracted features. The feature vector set includes the feature vectors. The processing circuitry determines homogeneity of the data set (DG) by performing a trial of supervised clustering on the feature vector set (BG) by using the label set (RG) and determining the possibility of the clustering.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform the steps of a method to automatically crop images. The system may convert a raw image into a grayscale image before applying an edge detection operator to the grayscale image to create an edge image. The system may then create a binary image based on the edge image, identify one or more contours in the binary image, and determine one or more contour bounding image areas surrounding the contour(s). Upon identifying contour bounding image area(s) having user-specified dimensional criteria, the system may determine a minimum bounded image area including those area(s), pad the minimum bounded image area, and crop the raw image based on the padded bounded area.

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: 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: The disclosed devices, systems and methods relate to various devices, systems and methods related to objectively analyzing digital images of turfgrass to rate various parameters and to objectively measure overall quality. The system establishes thresholds and may execute a series of steps to determine green coverage, color, density, and uniformity. The system can scale images to determine uniformity.

Abstract: An apparatus and a method for generating a high-quality one point color image are provided. A composite image generation unit that generates a composite image by executing composition processing using a color image and a monochrome image captured from different viewpoints, and an output image generation unit that generates a one point color image in which only a partial area of the image is colored are included. The output image generation unit generates a one point color image in which a colorization area in the one point color image is set as an area to which pixel values of the composite image are output, and a non-colorization area is set as an area to which pixel values of the monochrome image are output. The colorization area is selected by either user selection or automatic selection. For example, user-specified area information, subject distance information, and the like are used for the execution.

Abstract: A method for identifying objects includes generating a feature vector of an unknown object from an image of an environment. The method also includes comparing the feature vector of the unknown object to feature vectors of known objects. The method further includes determining whether a similarity between the feature vector of the unknown object and the feature vector of one of the known objects satisfies a threshold. Furthermore, the method includes identifying the unknown object based on the determination.