Abstract: An image processing apparatus: obtains a first image in a first projection, a second image in a second projection, and location information indicating locations of a plurality of points in the first image that are respectively associated with a plurality of points in the second image; generates, as an image to be superimposed on the first image, a superimposed image based on the second image, the superimposed image having the plurality of points in the second image at respective locations as indicated by the location information; and superimposes the superimposed image on the first image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for generating tags for an object portrayed in a digital image based on predicted attributes of the object. For example, the disclosed systems can utilize interleaved neural network layers of alternating inception layers and dilated convolution layers to generate a localization feature vector. Based on the localization feature vector, the disclosed systems can generate attribute localization feature embeddings, for example, using some pooling layer such as a global average pooling layer. The disclosed systems can then apply the attribute localization feature embeddings to corresponding attribute group classifiers to generate tags based on predicted attributes. In particular, attribute group classifiers can predict attributes as associated with a query image (e.g., based on a scoring comparison with other potential attributes of an attribute group).

Abstract: Systems and methods for the improved analysis and generation of medical imaging reports are disclosed. In particular, the present disclosure provides systems and methods that may be used for the automated analysis of radiological information, such as medical images and related text statements for discrepancy analysis, accuracy analysis and quality assurance. Systems and methods may include receiving medical images and textual data, generating enhanced medical image data by applying an artificial intelligence module to the received medical images, generating structured text data by applying a natural language processing module to the received textual data, and generating improved medical image reports and/or alerts based on the generated enhanced medical image data and the generated structured text data.

Abstract: A method, system, apparatus, and article of manufacture provide the ability to perform multiple actions based on a reality captured image. An adjustable splitter splits a viewport into viewing panes with the ability to freely adjust the splitter angle. A sphere represents a view of a scene from a viewpoint and used to render an interactive preview of the view without moving to the viewpoint. A series of 2D images may be used to simulate the navigation of a 3D model in an expedited manner. A 3D mesh error scroll bar is used navigate unsorted errors resulting from mesh creation. An interactive gradient map can be used to select a points based on a range of values for non-geometric parameters. An irregularly shaped mesh selection boundary can be directly modified by stretching. An elevation slice of a 3D model can be defined and isolated for viewing/manipulation.

Abstract: A computer implemented method includes supplying to a client device prompts for a first individual to specify matching criteria for a potential introduction to a second individual. The matching criteria includes a filter to sort a pool of individuals by a facial feature categorized by a facial recognition module. Matching criteria from the client device are collected. Matches between the first individual and a pool of individuals are generated based upon the matching criteria. The matches are supplied to the client device. A match acceptance by the first individual of the second individual is collected. Attributes of the second individual are verified to selectively establish a verified status. Network communication between the first individual and the second individual are enabled in response to the verified status.

Abstract: A method used in a mobile equipment for authenticating or identifying a user based on his face includes acquiring a sequence of biometric face sample corresponding to successive image frames of the user in a Trusted Execution Environment of the mobile equipment, and, in the Trusted Execution Environment, modifying or replacing some of the biometric face samples in the sequence, so as to generate a modified sequence with test biometric face samples. The method includes transmitting the modified sequence to a Rich Execution Environment of the mobile equipment, and classifying at least one portion of the biometric face samples using a classifier in the Rich Execution Environment, so as to generate for each classified biometric face sample a set of intermediary outputs and a classification result.

Abstract: A video management system includes: an imaging device configured to generate a first image by capturing a surveillance area at a first resolution; and a video management server configured to store a second image by converting the first image, wherein the imaging device includes: a high-resolution image storage configured to store the first image; a processor configured to convert the first image into the second image having a second resolution that is lower than the first resolution; and to transmit the second image to the video management server, and the video management server includes: a low-resolution image storage configured to store the second image; and a processor configured to generate low-resolution image metadata and an index of the low-resolution image metadata by analyzing the second image.

Abstract: Flexible and user-friendly navigation of loaded media in a multi-media presentation is described. A user may be able to view and/or edit the presentation. In at least one embodiment, navigating loaded media includes loading a page of a collage document to a client device, where the page has a plurality of layers and each layer is associated with a media object. This further includes creating a list of layers of the loaded page, each layer indexed by at least a position in the collage document; navigating the collage document in at least one direction and at least one speed based on user input; and filtering the list of layers based on at least the position in the collage document and a visual window of a user interface to display visible layers of the page within the visual window.

Abstract: A system of specifying link layer information in a URL is described. In an embodiment, a URL is generated which includes both a link layer network type and information which is used by a resolving device to identify a particular link layer network of the specified type. In various embodiments, the URL includes a link layer network type and a corresponding link layer network name or pairs of link layer network types and corresponding link layer network names. Where the URL comprises more than one link layer network name, the resolving device may determine at runtime which of the named link layer networks to connect to and this decision may be based on criteria or preference information included within the URL.

Abstract: Provided are image search system and methods. The image search system may include a query engine for reconfiguring a search query based on a description and an attribute of a sketch query that is input to a query image; a search engine for extracting image data that matches the search query from a database; and a display apparatus for displaying the extracted image data.

Abstract: A method and a device for MCMC framework-based sub-hypergraph matching are provided. Matching of object features is performed by constructing sub-hypergraphs. In a large number of actual images and videos, objects vary constantly, and contain various noise points as well as other interference factors, which makes image object matching and searching very difficult. Perform object feature matching by representing the appearance and positions of objects by sub-hypergraphs allows for faster and more accurate image matching. Furthermore, a sub-hypergraph has several advantages over a graph or a hypergraph: on one hand, a sub-hypergraph has more geometric information (e.g. angle transformation, rotation, scale, etc.) than a graph, and has a lower degree of difficulty and better extensibility than a hypergraph. On the other hand, the disclosed method and device have stronger capabilities to resist interference and good robustness, and are adaptable to more complex settings, especially with outliers.

Abstract: A method for transferring and rendering a medical image record, including, receiving, at a workstation of a first user, a subscription to a worklist, the worklist including a Study list having one or more Studies, each Study including at least one Digital Imaging and Communications in Medicine (“DICOM”) image; pre-rendering and compressing, by one or more computing devices, at least one DICOM image associated with each Study on the Study list; transferring, from the one or more computing devices to the workstation, one or more pre-rendered and compressed DICOM images; receiving, at the workstation, a request to view at least one pre-rendered and compressed DICOM image; decompressing, at the workstation, at least one requested pre-rendered and compressed DICOM image; rendering, at the workstation, at least one decompressed DICOM image; and displaying at least one rendered DICOM image at the workstation.

Abstract: Systems and methods directed to a service that analyzes media and outputs an evaluation of the media based on inconsistencies within media and differences between source media and the media, are described. In one aspect, a media file may be obtained at a computing resource service provider. The media may be analyzed to generate media results that indicate inconsistencies within the media file and/or differences between the media file and corresponding source media registered with the computing resource service provider. An indication of a significance of the inconsistencies within the media file and/or differences between the registered source media and the media may be generated based on the media results. In some aspects, source media may be registered and one or more artifacts inserted into the media to enable more efficient comparisons of whether other media is consistent with the registered source media.

Abstract: System and methods are provided for improved visual search systems that can use local features of images. The search system provides a user interface that enables a user to select areas or portions of an image to search on the selected features and the overall appearance of the image. The search system further provides customized user interfaces to exclude certain portions of images from the search algorithms. The search system can be used to detect potential intellectual property risks associated with items in an electronic catalog.

Abstract: The technology disclosed herein enables the creation of a contacts group from participants in a communication session along with the ability to share that created contacts group. In a particular embodiment, a method includes identifying participants participating in a communication session and receiving first user input from a first participant of the participants. The first user input identifies a first selection of the participants comprising at least one of the participants. The method further includes obtaining first contact information for the first selection of the participants and including the first contact information in a first contacts group. The method also includes providing the first contacts group to a selection of one or more users.

Abstract: Embodiments of the present disclosure relate to systems and methods for notifying an entity of a requested payment. In addition, embodiments of the present disclosure relate to solutions for identifying information about an intended recipient of a payment. Embodiments of the present disclosure also relate to solutions for sending a notification to a recipient regarding a payment. Embodiments of the present disclosure further relate to solutions for allowing a recipient to track a payment.

Abstract: Provided is an information processing apparatus and an information processing method capable of reflecting a feeling of an image capturing person for each subject of a captured image in the captured image and reproducing the realistic feeling at the time of capturing. An information processing apparatus including a recognition unit that recognizes one or more subjects from a captured image, an estimation unit that estimates a feeling of an image capturing person for each of the recognized subjects on the basis of data regarding a line-of-sight of the image capturing person and sensor data of the image capturing person associated with the captured image, and an image processing unit that performs image processing of reflecting the feeling for each of the subjects in the captured image.

Abstract: A method of tracking an object of interest between temporally successive images taken from a vehicle based camera system comprising: a) from an initial image, determining an initial patch with a respective boundary box encapsulating an identified object of interest; b) using a search template in Kanade Lucas Tomasi (KLT) methodology to track said object of interest in a temporally successive image from said camera system; so as to determine therein a new patch having a respective new boundary box or portion thereof, with respect to said object of interest, characterized in; and c) performing a check on the robustness of the tracking step in step b) by analyzing one or more parameters output from step b).

Abstract: Devices, systems, and methods of generating and utilizing visual representations for audio meetings. A method includes: receiving an audio recording of a meeting having multiple participants; determining, for each meeting participant, time-slots in which that meeting participant spoke during the meeting; generating and displaying an audio playback progress bar which visually differentiates among time-slots of different meeting participants. Hovering or selection of a particular time-point on the audio progress bar, causes generation and display of a textual phrase that was uttered at that time-point by a meeting participant, together with an indication of the speaker; and optionally with several other preceding phrases and following phrases. Transcript portions are also color-coded or visually-coded, to efficiently distinguish among phrases of various meeting participants.

Abstract: A computer system receives data that includes indications of a plurality of agenda items that correspond to the group event. During the group event, the system captures, by a media recording device, media data, converts the captured media data to a searchable version of the media data and searches the searchable version of the media data to determine a first time frame of the media data that corresponds to a first agenda item of the plurality of agenda items. The system displays, in a user interface that is accessible to at least one user associated with the group event, the representation of the media data. A first portion of the representation of the media data that corresponds to the first time frame is visually distinguished from at least a portion of the representation of the media data that does not correspond to the first time frame.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: Systems and methods for providing a visible watermark in a remote session. The methods comprise: determining if a graphic update needs to be made at a client computing device during the remote session; generating a first graphic update message in response to a determination that a graphic update is needed; identifying pixels of the graphic which would be affected by at least one watermark if the graphic and watermark were both displayed on a screen of the client computing device; constructing a second string of commands specifying a new color value for each of the pixels that were previously identified; converting the first graphic update message to a second graphic update message by inserting the second string of commands in between a first string of commands and an End-Of-Frame (“EOF”) command; and communicating the second graphic update message from the sever to the client computing device.

Abstract: Systems and methods for correlating item data are disclosed. A system for correlating item data may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: receiving text and image data associated with a reference item from a remote device; converting, using a computer-modeled embedding layer, at least one image to an image embedding; comparing the image embedding to reference embeddings stored in a database; selecting a subset of the candidate item text as candidate text data based on the comparison; selecting a subset of the candidate item images as candidate image data based on the comparison; selecting a text correlation model; determining a first similarity score; selecting an image correlation model; determining a second similarity score; calculating a confidence score based on the first and second similarity scores; and performing a responsive action based on the calculated confidence score.

Abstract: A method for archiving a document in digital or physical form can be summarized as including: capturing an image of the document by a high resolution camera of a headset, the document comprising index information, recording the captured image of the document in a document database along with the index information, confirming, the archiving of the document in physical form in a folder or a box of a cabinet at a determined physical storage location by detecting the folder or box in a delimited centre portion of a field of view of the high resolution camera of the headset in conjunction with detection of a voiced command or an indication of an identification tag of the folder or the box of the cabinet, and recording the determined physical storage location of the document.

Abstract: A device may obtain a first image depicting contents included in a secure storage container at a first point in time and first user account data associated with the secure storage container. The device may store the first image in a data structure associated with the first user account data. In addition, the device may receive data indicating that an individual associated with a second user account accessed the secure storage container, and receive a second image depicting contents included in the secure storage container at a second point in time. The second image may be stored in the data structure. The device may further receive, from a user device associated with the first user account data, a request to access the data structure, and the device may provide, to the user device, data that causes display of the second image.

Abstract: This computerized system can include a computer system in communication with an immutable storage; a first data capture device and a second data capture device can be in communications with the computer system; a set of computer readable instructions can be included in the computer system configured for receiving a first event record including a first location, a first time and a first set of metadata wherein the first set of metadata includes an original digital representation captured by the first data capture device of the physical object, receiving a subsequent event record from the second data capture device and, determining if the original digital representation is equivalent to the subsequent digital representation thereby providing for verification that the same physical object transitioned from an originating event to a subsequent event.

Abstract: Active speaker detection can include receiving speaker detection signals from a plurality of devices participating in an electronic meeting. Each speaker detection signal specifies a score indicating whether an active speaker is detected by a respective device of the plurality of devices that generates the speaker detection signal. Active speaker detection further can include determining, using a processor, a device of the plurality of devices that detects an active speaker based upon the speaker detection signals, wherein, in response to the determining, the method further comprises: providing video received from the determined device to the plurality of devices during the electronic meeting.

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

Abstract: A motion image integration method includes acquiring a raw image, detecting a first motion region image and a second motion region image by using a motion detector according to the raw image, merging the first motion region image with the second motion region image for generating a motion object image according to a relative position between the first motion region image and the second motion region image, and cropping the raw image to generate a sub-image corresponding to the motion object image according to the motion object image. A range of the motion object image is greater than or equal to a total range of the first motion region image and the second motion region image. Shapes of the first motion region image, the second motion region image, and the motion object image are polygonal shapes.

Abstract: Methods and systems for using machine learning to determine electronic document similarity include extracting entities and corresponding relationships from each of two electronic documents of a corpus of electronic documents based on word embedding, computing an entity distance between the extracted entities and a relationship distance between the extracted relationships based on knowledge graph embedding, combining the entity and relationship distances to generate a similarity score between the electronic documents, and implementing the similarity score to perform a task associated with the electronic documents.

Abstract: A facial feature matching system comprises a facial feature matching engine. A first user selection of reference facial images is received, and facial features of reference faces are characterized using the facial feature recognition engine comprising a neural network with input, hidden, and output layers. The facial features are weighted. The weighted facial features are used to identify users that have facial features similar to the weighted facial features, wherein the respective reference faces include faces different than the faces of the users. Similarity indicators are generated for the identified users. The generated respective similarity indicators are used to generate a ordering of the identified users which is rendered via the user device. A first user selection of a second user in the ordered identified users is received and the first user and the second user are enabled to communicate over an electronic communication channel.

Abstract: An example system includes a feature extraction engine. The feature extraction engine is to determine a plurality of scale-dependent features for a portion of a target. The system also includes a signature-generation engine to select a subset of the plurality of scale-dependent features based on a strength of each feature. The signature-generation engine also is to store a numeric representation of the portion of the target and the subset of the plurality of scale-dependent features.

Abstract: An information processing method implemented by a computer, the information processing method includes: acquiring an image group generated by imaging a data group according to each of a plurality of imaging methods; for each of the acquired image groups, calculating a score of the imaging method used to generate the image group, based on distribution of a first feature value group in a feature value space, and distribution of a second feature value group in the feature value space, the first feature value group being a plurality of feature values output when the image group is input to a trained model outputting feature values corresponding to input images, the second feature value group being a plurality of feature values output when a reference image group is input to the trained model; and outputting the score of the imaging method, the score being calculated for each of the image groups.

Abstract: A contextual label compression framework is presented that uses trained sequence to sequence models. A set of training data including received queries and related content can be processed to generate sequences of semantic encodings. These sequences can be used to train the sequence to sequence models, in order to be able to predict queries for instances of content when the relevant information for those instances is processed by the model. When such information is received for an instance, that information can be processed to generate a semantic encoding sequence which can then be processed by the model. A resulting semantic sequence output by the model can be segmented and decoded to produce a set of relevant queries for the instance of content. This information can then be provided to an entity associated with the instance of content for purposes in managing aspects relating to that content.

Abstract: A computer-implemented method executed by at least one processor for person identification is presented. The method includes employing one or more cameras to receive a video stream including a plurality of frames to extract features therefrom, detecting, via an object detection model, objects within the plurality of frames, detecting, via a key point detection model, persons within the plurality of frames, detecting, via a color detection model, color of clothing worn by the persons, detecting, via a gender and age detection model, an age and a gender of the persons, establishing a spatial connection between the objects and the persons, storing the features in a feature database, each feature associated with a confidence value, and normalizing, via a ranking component, the confidence values of each of the features.

Abstract: A system and method for lowering probability that low data rates, high bit error rates, and susceptibility to signal degradation in communication environments during storms, solar activity, and adversarial activity is disclosed. The system and method affect communications by minimizing the amount of data/information that needs to be transmitted, partly by creating an algorithmic process/method that moves knowledge and not data and information. The system and method is based upon the realization that structured communications often possess a similar level of context that can be exploited to communicate full meaning (knowledge), even when only a small fraction of the message is transmitted to the receiver. Reducing the number of bytes transmitted significantly reduces the probability that a transmission will be affected by either naturally occurring or human supplied factors present in modern communication environments.

Abstract: A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image.

Abstract: The present invention relates to method and system for providing series of serialized unique information on a substrate together with product related information. The method comprising: providing the series of serialized unique information from a batch of serialized unique information, using a printer device (30) able of printing from a digital-based image directly on the substrate in a first instance; storing information about the serialized unique information to a data storage device (20); printing the product related information on the substrate; and analysing the printed serialized unique information and product related information on the substrate.

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: A content-aware storage system and method for use therewith are presented. In one embodiment, a storage system is provided comprising a memory and a controller. The controller is configured to receive an image; determine an amount of spare memory space; generate a lower-resolution version of the image, wherein a resolution level of the lower-resolution version of the image is based on the determined amount of spare memory space; and store the image and the lower-resolution version of the image in the memory. Other embodiments are provided.

Abstract: Generating color vector previews for images is described. A color vector preview system processes image data using parallel pipelines: one for determining a color palette based on an image frame's depicted content and another for recoloring image frames using the color palette. The color vector preview system replaces each pixel of an image frame with a color determined from a surrounding spatial neighborhood of pixels. Input specifying a number of colors is received, and the specified number of colors are selected from replaced pixel values to define the color palette. After determining the color palette, the color palette pipeline obtains a most-recently captured image frame and updates the color palette accordingly. Simultaneously, the recoloring pipeline compares each of the replaced pixel values to the color palette and replaces each pixel based on the comparison. Recolored frames are then output as color vector previews for the image data in real-time.

Abstract: Systems and methods are provided for generating a base visual score for each candidate image of a plurality of images received by a computing system, based on the scene type of each image. For each candidate image, the computing system multiplies the base visual score by a feature importance weight to generate a first visual score, adds respective scene type bonus points to the first visual score to generate a second visual score, and adds diversity scoring points to the second visual score to generate a final visual score for each candidate image. The computing system ranks the candidate images based on the final visual scores and provides a specified number of the top-ranked candidate images to be displayed on a display of the computing device.

Abstract: Disclosed herein is an image monitoring system including: a camera connected to a network; display means for displaying an image captured by the camera; and display control means for controlling display such that, in displaying images by the display means, an image is displayed in a window having a predetermined layout; wherein the display control means presets an allocation database containing a correlation between the window having a predetermined layout and a camera identification code and, when the camera is connected to the network, automatically sets a correlation between the camera identification code in the allocation database and the camera, thereby controlling image display into the window on the basis of the allocation database.

Abstract: A smart content template recommendation system including a content editing device, a content management system, at least one content playing device is provided. The content editing device is for a user to edit a client content. The content management system is coupled to the content editing device to receive and analyze the client content uploaded from the content editing device to recommend a target content template. The at least one content playing device is coupled to the content management system to play the target content template recommended by the content management system.

Abstract: This disclosure provides systems, methods, and apparatuses for high dynamic range (HDR) processing. In one aspect, an example HDR processing device may process a first exposure frame and a second exposure frame during a first capture sequence. The device may also generate a first HDR image from the first exposure frame and the second exposure frame at an end of the first capture sequence. The device may also process a third exposure frame during a second capture sequence that at least partially overlaps in time with the first capture sequence. The device may also generate a second HDR image from the second exposure frame and the third exposure frame.

Abstract: Systems, methods, and other embodiments associated with indexing spatial data in a distributed file system are described. A query window defining a portion of a spatial data space is received, and candidate partitions containing the spatial data within the query window are identified. An intermediate partition dataset comprising each of the identified candidate partitions is created. Execution of a distributed function is limited to the identified candidate partitions, and a data structure including at least one record included in the result of the query is generated, and returned as the result of the query over a communication network.

Abstract: A method of generating stereoscopic images for display with respect to a virtual display screen (VDS) position, includes setting a VDS position for a stereoscopic image for display such that the depth profile of one or more VDSs approximates the depth profile of one or more objects in a virtual scene to be displayed by that stereoscopic image, and generating the stereoscopic image for display having image parallax appropriate to the VDS position or positions set by the setting step.

Abstract: A portable pedestrian navigation system including a computing device, a proximity sensor and an output device. The proximity sensor and the output device are communicatively coupled to the computing device and the computing device is adapted for receiving environmental data at least from the proximity sensor. Based on the environmental data, A candidate guide entity near the pedestrian is identified. Based on the environmental data, the output device is used for guiding the pedestrian in accordance with a movement of the identified candidate guide entity as a selected guide entity.

Abstract: Provided are a computer program product, system, and method for copying data from multiple point-in-time copies to a log storage to use to roll-back a source storage managing point-in-time copies of a source storage. A plurality of point-in-time copies of a source storage at different point-in-times are established. In response to receiving writes to the source storage after establishing each of the point-in-time copies, point-in-time data in the source storage is copied, before being updated by the received writes, to a log storage, wherein the log storage stores point-in-time data for multiple of the point-in-time copies. The log storage is used to roll-back the source storage to a selected point-in-time of one of the point-in-time copies.

Abstract: Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.