Abstract: Examples disclosed herein describe techniques related to automated image generation in an interaction system. An image generation request is received from a first user device associated with a first user of an interaction system. The image generation request comprises a text prompt. Responsive to receiving the image generation request, an image is automatically generated by an automated text-to-image generator, based on the text prompt. The image is caused to be presented on the first user device. An indication of user input to select the image is received from the user device. Responsive to receiving the indication of the user input to select the image, the image is associated with the first user within the interaction system, and a second user of the interaction system is enabled to be presented with the image.

Abstract: Selection strategies for a direct marketing campaign that identifies consumers from a credit bureau or other consumer database are refined on a stable subset of the credit database. Once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database. The data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers test their campaign. For each consumer in the sampling, the environment allows a client to access and use attributes calculated by the credit bureau and proprietary attributes and data owned by the client. The system allows for a plurality of clients to use the system substantially simultaneously while protecting the privacy and integrity of the client's proprietary data and results.

Abstract: Systems and methods to train a machine learning model to generate correspondences between portions of recorded content and records of a collaboration environment and/or generate correspondences between portions of recorded content and records of a collaboration environment using a trained machine learning model.

Abstract: Systems, computer program products, and methods are described herein for intelligent data compression, in accordance with an embodiment of the invention. The present invention may be configured to receive a plurality of files for storage in a database and perform a series of steps iteratively, for each file of the plurality of files, and until each file of the plurality of files is represented in the database. The series of steps may include identifying one or more data points in the respective file, where each identified data point was previously unidentified in the database and adding the identified one or more data points to the database. The series of steps may also include identifying one or more features of the respective file for storage in the database and storing the identified one or more features in the database as a surrogate for the respective file.

Abstract: A computer-implemented method includes receiving, from a mobile device, a deposit request including a first check image for funds to be deposited into a user account, determining a risk level associated with the deposit request, requesting a second check image having a restricted endorsement based on the risk level, receiving the second check image having the restricted endorsement, determining a confidence level based on the restricted endorsement, and transferring the funds to the user account based on the confidence level.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for receiving a set of images at a social media system, wherein each image includes one or more recognized features associated with one or more lightness values; indexing each image using the one or more recognized features and the associated range of lightness values; receiving a query; determining a first group of images that is responsive to the query; determining that the query triggers a lightness filter to be displayed on the user device; providing the first group of images for display on a user interface with one or more lightness filter indicators; and in response to a user selection of one of the one or more lightness filter indicators: filtering the first group of images to determine a filtered group of images, and updating the images provided for display according to the filtered group of images.

Abstract: A visual difference generator can receive images and generate a graphical representation of the differences between the images. Some embodiments include receiving first and second images; generating a top-clamped image by adding rows to bottom of the shorter of the first and second images; generating a first difference matrix by comparing the top-clamped image with the longer of the first and second images; generating a bottom-clamped image by adding rows to top of the shorter of the first and second images; generating a second difference matrix by comparing the bottom-clamped image with the longer of the first and second images; generating a third difference matrix by comparing the first and second difference matrices; and generating a visual difference image based on the third difference matrix.

Abstract: A system and method detects that an object within an image frame being captured via use of an imaging element associated with a computing device is an object of interest, tracks the object of interest within the image frame while determining if the object within the image frame remains the object of interest within the image frame for a predetermined amount of time, and, when the object within the image frame fails to remain the object of interest within the image frame for the predetermined amount of time causes the steps to be repeated. Otherwise, the system and method will automatically provide at least of part of the image frame to a cloud-based visual search process for the purpose of locating one or more matching products from within a product database for the object of interest with the located one or more matching products being returned to a customer as a product search result.

Abstract: A multimodal embedding modifier generates a modified seed search selection embedding for providing a set of search results. The multimodal embedding modifier enhances the ability and accuracy of identifying a user's true intent when searching the online marketplace. For example, embodiments disclosed herein can allow a user to navigate multiple modalities for an item. In some embodiments, a user may select a search result corresponding to an initial search query, and further modify the selected search result by inputting a modifier (e.g., a textual modifier). The multimodal embedding modifier can be trained using a training dataset including a text embedding, an image embedding, another type of embedding, or a combination thereof.

Abstract: In an approach to improve multi-factor authentication embodiments generate an evaluation-mask over one or more modified items on a modified image created by a generative adversarial network (GAN). Further, embodiments create a scoring grid by comparing an original image with the modified image to identify different pixels between the original image and the modified image, and overlay the evaluation-mask over the identified different pixels on the modified image. Embodiments display the modified image as a multi-factor authentication prompt to a user and prompt the user to provide a response that identifies one or more modifications in the modified image. Additionally, embodiments compute an evaluation score based on a comparison of the response from the user with the evaluation-mask, to validate the response from the user, and authenticate and grant the user access to data or other resources if the evaluation score meets or exceeds a predetermined threshold.

Abstract: A first designation unit configured to designate a first image group, a second designation unit configured to designate a second image group, an analysis unit configured to analyze an image included in the second image group, a determination unit configured to determine a reference for selecting an image from the first image group, based on a result of analyzing the image included in the second image group, a selection unit configured to select a third image group from the first image group, based on the reference, and a changing unit configured to accept a change in a parameter that is obtained from the third image group selected by the selection unit are included and to produce a changed parameter. The selection unit is configured to select an image from the first image group by use of the changed parameter.

Abstract: An online image search and marketplace platform and browser plug-in system is described. The system is configured to execute image-based searches of the Internet to correlate hosted images with ownership and licensing metadata, facilitating the marketing of images to users and expediting the purchase of licensing for said images. The system employs an online platform in communication with an image metadata database, providing a conduit for users to execute an image search from an image search field populated by a target image URL or direct image upload. An auto-cropping feature combined with extensive steganography integration ensures accurate image identification, ownership mapping, and usage tracking. The browser plug-in facilitates the execution of an image search within the right-click menu of any image hosted to the Internet. Image tracking enables content owners to be alerted in real-time when unlicensed use of content is detected.

Abstract: A picture processing method and an electronic device are provided. The method includes: receiving a first input by a user in a case that a first interface is displayed. The first interface includes N target identifiers. The first input is an input by the user for M target identifiers in the N target identifiers. N and M are both integers greater than 1. M is less than or equal to N. The method further comprises updating the first interface to a second interface in response to the first input. The second interface includes M pictures indicated by the M target identifiers. The method also includes receiving a second input by the user for the M pictures. In response to the second input, the method additionally includes performing synthesis processing on the M pictures according to a size of each of the M pictures to obtain a target synthesized picture.

Abstract: An example embodiment may involve obtaining, by a graphical viewer, a 3D model of an object; requesting, by the graphical viewer, one or more 2D textures for the object from an image server application; receiving, by the graphical viewer, the one or more 2D textures from the image server application; possibly based on the 3D model of the object and the one or more 2D textures, generating, by the graphical viewer, a texturized image representation of the object; and displaying, by the graphical viewer, the texturized image representation of the object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating image layers and determining layer labels utilizing a machine learning approach. For example, the disclosed systems utilize an image segmentation machine learning model to segment the digital image and identify individual objects depicted within the digital image. Additionally, in some embodiments, the disclosed systems determine object classifications for the depicted objects by utilizing an object classification machine learning model. In some cases, the disclosed systems further generate image layers for the digital image by generating a separate layer for each identified object (or for groups of similar objects). In certain embodiments, the disclosed systems also determine layer labels for the image layers according to the object classifications of the respective objects depicted in each of the image layers.

Abstract: A computer-implemented method includes receiving, from a mobile device, a deposit request including a first check image for funds to be deposited into a user account, determining a risk level associated with the deposit request, requesting a second check image having a restricted endorsement based on the risk level, receiving the second check image having the restricted endorsement, determining a confidence level based on the restricted endorsement, and transferring the funds to the user account based on the confidence level.

Abstract: The disclosure provides a receipt identification method, apparatus, electronic device and computer-readable storage medium. The method includes: obtaining (S101) an image of the receipt to be identified; identifying (S102) each row region of the receipt in the image by using a region identification model, wherein the row region is the region where each line of characters is located; identifying (S103) the character content in each row region by using the character identification model; determining (S104) time information, store name and payment amount on the receipt according to the character contents in each row region. The solution provided by the disclosure can automatically identify the relevant information on the receipt.

Abstract: There are provided a learning apparatus and a learning method that can facilitate creation of teaching data and prevent overtraining. A learning apparatus (10) includes a first database that stores a first image set in which a first image for learning and coordinate information for identifying a region larger than a region of interest included in the first image are associated with each other, and a second database that stores a second image set in which a second image for learning and second mask data for identifying a region of interest included in the second image are associated with each other. In a case of using the first image set to update a parameter of a CNN (32) (in a case of performing learning), a mask data creation unit (38) creates first mask data on the basis of the coordinate information for identifying the region larger than the region of interest.

Abstract: Content management systems, methods, and media using an application level firewall are provided.

Abstract: Real time, on demand rendered image delivery may be provided using one or more local image servers, image stores corresponding to the local image servers, one or more rendering servers, and a global image store. When a request for an image of three dimensional object is provided to a local image server, that server may respond to the request by determining if is present in its corresponding local image store. If it is not, then the local image server may obtain the image, store it in its corresponding local image store, and then return it. The one or more rendering servers may respond to messages indicating that one or the local image servers are obtaining an image by generating that image based on rendering it using special purpose rendering hardware, storing it in the global image store, and sending a completion message indicating that the requested image had been generated.

Abstract: The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.

Abstract: Techniques are disclosed for automatic scene detection and character extraction. In one example, audiovisual content with video frames, an audio recording, and timing information is received. A score, based on the frame's visual characteristics, is determined for a first frame and subsequent frames. The first frame's score and subsequent frame's scores are compared to determine if the difference between the scores is above a threshold. When the difference in scores is above a threshold, the subsequent frame is classified as a new scene. The audiovisual content is segmented into scenes and textual characters are identified in at least one frame from each scene. The characters are stored and indexed in a searchable database with the timing information for the scene where the characters were identified. The audio recording is transcribed and the transcribed words are stored and indexed in the searchable database with timing information.

Abstract: A method for automatically classifying transition motion includes following steps performed by a computing device: obtaining a plurality of transition motions, with each transition motion being associated with a source motion, a destination motion, and a transition mechanism converting the source motion into the destination motion; extracting a property vector from each transition motion and thereby generating a plurality of property vectors, wherein each property vector includes a plurality of transition properties; and performing a clustering algorithm according to the property vectors to generate a plurality of transition types.

Abstract: Example embodiments relate to a system to generate and cause display of a specially configured graphical user interface to receive and present collections of images. According to certain example embodiments, an image analysis system: receives an image file from a client device; generates a hash value based on the image file; performs a comparison of the hash value with a list that comprises a collection of hash values; identifies a match to the hash value among the collection of hash values; assigns a label to the image file in response to identifying the match among the collection of image files from the list; and indexes the image file at a memory location identified by the label assigned to the image file.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

Abstract: A software development infrastructure can enable user developers to select remote hardware devices to develop and test their software programs. For some tests and development activity, physical access to the remote device can be provided by the infrastructure administrator by replacing the internal calls of an application with mimic code, which can respond to application requests for sensor data, as if the user was physically handling the remote device at the same location.

Abstract: Disclosed is a system for tracking user activities with a user identification tag stored at the user's Internet-capable device. For example, the system can store a pixel having a color scheme that identifies the user but that is hidden to the user and identifiable by an external computer. The pixel can be stored in the user device's cache for later identification of the user.

Abstract: Systems and methods for creating multiple renditions of a social media composition may include (1) providing a composition screen configured to be used to create user compositions for use with different consumption channels of a social media application, (2) collecting, via the composition screen, a set of one or more user inputs selecting user-selected content, to be included within a user composition, that includes photographs and text, (3) creating a first rendering of the user composition, to be viewed from a first consumption channel, that includes a slideshow of the photographs with a cover card that includes the text, and (4) creating a second rendering of the user composition, to be viewed from a second consumption channel, that includes a collage of the photographs with a caption that includes the text. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods and systems for face clustering include determining a quality score for each of a set of input images. A first subset of the input images is clustered, having respective quality scores that exceed a predetermined threshold, to form an initial set of clusters. A second subset of the input images is clustered, having respective quality scores below the predetermined threshold. An action is performed responsive to the clustered images after the second subset is added to the initial set of clusters.

Abstract: Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client.

Abstract: In some examples, a device includes a body configured to receive an elongated medical device, and a conductive element configured to contact a touchscreen of a computing device. An amount of contact between the conductive element and the touchscreen varies based on the compressive force applied to the elongated medical device when the elongated medical device is received within the body.

Abstract: Systems and methods are provided for suggesting reminders from content displayed on a mobile device. An example method may include analyzing content generated by a first mobile application and displayed on a display of a mobile device, and determining that the content suggests an event, the event including at least one entity. The method may also include providing an assistance window requesting confirmation for adding a reminder for the event in a second mobile application responsive to determining that the content suggests the event, and adding the reminder via the second mobile application responsive to receiving the confirmation. In some implementations the first mobile application is a messaging application.

Abstract: A receiver driven approach for playback of remote content is described. One embodiment includes obtaining information concerning the content of the media file from the remote server, identifying a starting location within the media sequence, identifying byte ranges of the media file corresponding to media required to play the media sequence from the starting location, requesting the byte ranges required to play the media sequence from the starting location, buffering received bytes of information pending commencement of playback, playing back the buffered bytes of information, receiving a user instruction, identifying byte ranges of the media file corresponding to media required to play the media sequence in accordance with the user instruction, flushing previous byte range requests, and requesting the byte ranges required to play the media in accordance with the user instruction.

Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.

Abstract: A method and system are provided for classifying semi-structured documents. According to one embodiment, the method includes accessing a number of documents, and identifying in each of the documents pairs of character segments. The method also includes generating a map of unique identified segment pairs across all documents in the several documents. The method further includes generating for each of the several documents a respective feature vector based on one or more unique pair of segments in the map that are also identified in the document, and clustering the plurality of documents into a plurality of clusters, using the feature vectors.

Abstract: A system and a method use an application on a mobile device to transfer internet media content to a rendering device in a home network. The application may use an HTML rendering engine to display a web page to a user of the mobile device, and the web page may have controls for accessing the internet media content. The application may receive a user interaction signal which may indicate that a user invoked one of the controls for accessing the internet media content. In response, the application may initiate transfer of the internet media content to the rendering device in the home network and/or may queue the internet media content for later playback using the rendering device.

Abstract: Methods and apparatuses associated with determining a location of a mobile device are described. Examples can include receiving, at a mobile device in response to a triggering event, signaling that indicates the mobile device is in an unauthorized location, in possession of an unauthorized user, or both. Examples can include prompting an input representative of authorized user verification and enabling one or more circuits or power supplies of the mobile device based at least in part on determining that a value of the input satisfies. In response and based at least in part on determining that the value of the input fails to satisfy the threshold, examples can include capturing environmental data and location data associated with the mobile device and communicating the environmental data and location data and a location determination to an authorized user. In some examples, a mobile device can be deactivated responsive to unconfirmed authorized verification.

Abstract: Systems and methods for managing medical information storage and transmission are discussed. A data management system may include a receiver circuit to receive information about a physiological event sensed from a patient, and an event prioritizer circuit to assign a priority to the received information. A control circuit may perform data reduction of the received information according to the assigned priority. Data reduction at a higher reduction rate is performed on the received information if a lower priority is assigned than if a higher priority is assigned. The system may include an output circuit to output the received information to a user or a process, or to transmit the received information to an external device, according to the assigned priority.

Abstract: A software development infrastructure can enable user developers to select remote hardware devices to develop and test their software programs. For some tests and development activity, physical access to the remote device can be provided by the infrastructure administrator by replacing the internal calls of an application with mimic code, which can respond to application requests for sensor data, as if the user was physically handling the remote device at the same location.

Abstract: The disclosed technology is a system and computer-implemented method for assembling and editing a video program from spoken words or soundbites. The disclosed technology imports source audio/video clips and any of multiple formats. Spoken audio is transcribed into searchable text. The text transcript is synchronized to the video track by timecode markers. Each spoken word corresponds to a timecode marker, which in turn corresponds to a video frame or frames. Using word processing operations and text editing functions, a user selects video segments by selecting corresponding transcribed text segments. By selecting text and arranging that text, a corresponding video program is assembled. The selected video segments are assembled on a timeline display in any chosen order by the user. The sequence of video segments may be reordered and edited, as desired, to produce a finished video program for export.

Abstract: An apparatus for document recognition according to an embodiment includes a document type analyzer that analyzes a type of a recognition target document based on document feature vector extracted from one or more partial images obtained by color space conversion of one or more partial regions of the recognition target document, and an information extractor that extracts value information from one or more information search images organized in a grid form based on a position of key information of the recognition target document.

Abstract: A signal retrieval device includes a modification unit and a signal retrieval unit. The modification unit modifies a value of an attribute of a target represented by an input signal or a stored signals stored in a signal storage unit or a value of an attribute relating to a signal generation source of the input signal to acquire a plurality of modified values of the attribute. The signal retrieval unit retrieves a stored signal of the stored signals similar to the input signal using the input signal or the stored signals in which the attribute is modified according to each of the plurality of modified values of the attribute acquired by the modification unit.

Abstract: A cross-domain image comparison method and a cross-domain image comparison system are provided. The cross-domain image comparison method includes the following steps. Two videos in cross-domain are obtained. The videos are generated by different types of devices. A plurality of semantic segmentation areas are obtained from one frame of each of the videos. A region of interest pair (ROI pair) is obtained according to moving paths of the semantic segmentation areas in the videos. Two bounding boxes and two central points of the ROI pair are obtained. A similarity between the frames is obtained according to the bounding boxes and the central points.

Abstract: The disclosure is for displaying a search result for products. A server may include a communication module, a memory including a database which stores product information in association with one or more product images corresponding to a product and text information related to the product, and a processor.

Abstract: A computer-implemented method includes receiving, from a mobile device, a deposit request including a first check image for funds to be deposited into a user account, determining a risk level associated with the deposit request, requesting a second check image having a restricted endorsement based on the risk level, receiving the second check image having the restricted endorsement, determining a confidence level based on the restricted endorsement, and transferring the funds to the user account based on the confidence level.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine learning. One of the methods includes receiving a document having a plurality of first text strings; extracting the plurality of first text strings from the document; providing the extracted plurality of first text strings to a first machine learning model, wherein the first machine learning model is trained to output a numerical vector representation for each input first text string; providing the output vector representations from the first machine learning model to a second machine learning model, wherein the second machine learning model is trained to output a second text string for each input vector representation; and processing the second text strings to generate an output.

Abstract: Embodiments of the present disclosure provide a search method, a device, and a storage medium. The method includes: identifying, by an AR technology, a target object to be searched, and acquiring search information of the target object, transmitting a search request to a server according to the search information, receiving a search result of the target object returned by the server. The method provided in the embodiments can quickly obtain an accurate search result and improves user experience.

Abstract: In an approach to anonymous inventory tracking, one or more computer processors receive a first image of one or more products from a user. The one or more computer processors remove data associated with an identity of the user from the first image. The one or more computer processors determine that a storage location associated with the one or more products in the first image is detected. The one or more computer processors determine an inventory count of the one or more products in the first image. The one or more computer processors submit the first image and the inventory count of the one or more products in the first image to a blockchain ledger in association with the storage location. The one or more computer processors take an action based on the inventory count.

Abstract: An information processing apparatus includes a display unit and a control unit, the display unit performs list display of plural pieces of information by dividing the plural pieces of information into plural pages in a case where the pieces of information corresponding to a number, which is equal to or larger than a predetermined limit, exist in a folder within a server that stores the plural pieces of information, and the control unit performs display control of performing the list display on the display unit by adding designated information to information in a predetermined location, in a case where the designated information does not exist in a selected page.