Abstract: Disclosed is a master electronic device configured to create a content capture session executable by a plurality of electronic devices comprising at least one client electronic device. The master electronic device may comprise: a user interface module configured to receive at least one session parameter; a processor configured to create at least one content capture session based on the at least one session parameter; and a communication means configured to communicate data between the master electronic device and at least one client electronic device, wherein the communication comprises transmission of at least one session parameter, wherein the at least one client electronic device is configured to participate in the at least one content capture session according to the at least one session parameter.

Abstract: A method includes collecting user activity data for a first online media item. The user activity data can be data for a user consuming the first online media item. The method further includes segmenting a second online media item into a plurality of segments, and identifying one or more of the plurality of segments with user activity data satisfying one or more criteria. The identified segments comprise a set of frames of the plurality of frames of the second online media item. The method further includes selecting a frame from the set of frames from the second online media item. The method further includes sending a recommendation of the selected frame as a thumbnail recommendation for the second online media item to a client device.

Abstract: The present disclosure provides computing systems and methods for cataloging, retrieving, and/or organizing user-generated content associated with objects. Aspects of the disclosure are directed to a systems and methods which utilize computers to enable users to interact with libraries of user-generated content associated with cataloged objects. For example, a user can capture one or more images of a real-world object, label or otherwise annotate the object with various types of user-generated content and organize the object and its associated content into one or more libraries. The user-generated content can then be provided to other users upon the receipt of images of the same object or an object displaying similar features.

Abstract: Systems and methods to reconfigure a scene based on timing and scene content are disclosed. Exemplary implementations may: obtain scene information defines a scene in which an event transpires; analyze the scene information that defines the event to identify effectual content and ineffectual content related to the event within the unedited event duration; and generate, based on the scene information and the analysis, a draft scene that includes an edited event comprising the effectual content from an edited event beginning to an edited event end in accordance with the prospective event duration.

Abstract: Technologies and techniques for optimizing a patient overview in a user interface (UI), utilizing at least one processor. An optimize request is received including an optimization level from a user via the UI, selecting predetermined patient information associated with the received optimization level, and displaying an optimized patient overview containing the selected certain patient information to the user.

Abstract: An apparatus for encoding an image block includes a processor that presents, to a machine-learning model, the image block, obtains the partition decision for encoding the image block from the model, and encodes the image block using the partition decision. The model is trained to output a partition decision for encoding the image block by using training data for a plurality of training blocks as input, the training data including for a training block, partition decisions for encoding the training block, and, for each partition decision, a rate-distortion value resulting from encoding the training block using the partition decision. The model is trained using a loss function combining a partition loss function based upon a relationship between the partition decisions and respective predicted partitions, and a rate-distortion cost loss function based upon a relationship between the rate-distortion values and respective predicted rate-distortion values.

Abstract: A method and a system for virtual reality, augmented reality, mixed reality, or 360-degree Video environment is disclosed. The system receives Video Streams associated to audio and video scenes to be reproduced and Audio Streams associated to audio and video scenes to be reproduced. There are provided a Video decoder which decodes signal from the Video Stream for the representation of the audio and video scene; an Audio decoder which decodes signal from the Audio Stream for the representation of the audio and video scene to the user; and a region of interest processor deciding, based e.g. on the user's viewport, head orientation, movement data, or metadata, whether an Audio information message is to be reproduced. At the decision, the reproduction of the Audio information message is caused.

Abstract: An example device for requesting a reduced resolution for video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: decode a first sequence of pictures of a bitstream, the first sequence of pictures having a first resolution; in response to determining that the device is to enter a power saving mode, send a message requesting a reduced resolution relative to the first resolution for a second sequence of pictures, the second sequence of pictures being subsequent to the first sequence of pictures in coding order; and decode the second sequence of pictures of the video data of the bitstream, the second sequence of pictures having the reduced resolution. The reduced resolution may be reduced spatial resolution, reduced temporal resolution (frame rate), or both.

Abstract: Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy.

Abstract: Systems and methods are provided for generating for display, with a media asset, one or more preview images. If a preview image corresponding to an advanced play position, relative to a current play position, provides a spoiler, an alternative preview image is generated for display. The alternative image may be a modified version of the original image in which at least a portion is removed or masked, or a replacement image, e.g., an image from another play position, a promotional image, or an indication that the preview image is not displayed. A different alternative image or modification may be used when a subsequent play position has been reached if the unmodified preview image contains a different spoiler, and/or a previous modification is no longer required, e.g., if, at the subsequent play position, the original image is no longer a spoiler, the original image may be used as a preview image.

Abstract: Aspects of the disclosure relate to annotated video content. A computing platform may train a model using video content, which may configure the model to classify topics and identify speakers of future video content using STT and NLP. The computing platform may input new video content into the model, which may output an annotated version of the new video content. The model may be configured to generate the annotated version of the new video content by: 1) using one or more STT techniques to produce STT results, 2) classifying topics based on the STT results, 3) identifying speakers based on analysis of voice information, and 4) generating an index indicating a speaker and/or a topic corresponding to time segments. The computing platform may store the annotated version of the new video content, which may be navigable by a user using the visual index.

Abstract: A method, apparatus, and electronic device for processing a video, a medium and a product are presented. An implementation of the method includes: acquiring a target video; selecting, from at least one preset model, a preset model as a target model; determining output data of the target model based on the target video and the target model; reselecting, in response to determining that the output data does not meet a condition corresponding to the target model, another preset model as the target model from the at least one preset model until the output data of the target model meets the condition corresponding to the target model; and determining, based on the output data, a dynamic cover from the target video.

Abstract: The present technology relates to a file generation device, a file generation method, a file reproduction device, a file reproduction method, and a program capable of associating an image stored is a file with external data outside the file. A file control unit generates an association-type high efficiency image file format (HEIF) file in which an image in an HEIF file compliant with HEIF and specific information that specifies external data outside the HEIF file, the external data to be associated with the image, are stored in association with each other. Furthermore, the file control unit reproduces the association-type HEIF file. The present technology can be applied to a case where an HEIF file is generated or a case where the HEIF file is reproduced.

Abstract: A controlling method of an electronic apparatus may include: obtaining image data and metadata regarding the image data, the image data comprising a first image frame and a second image frame that is subsequent to the first image frame; obtaining information regarding a region of interest of the first image frame by inputting the first image frame to a first neural network model; obtaining a similarity between the first image frame and the second image frame based on motion vector information included in the metadata; and detecting whether there is a manipulated area in the second image frame based on the similarity.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically and programmatically generating crowdsource trailers. In an embodiment, interactions with streaming content performed by a plurality users who consumed the content are received. A value is assigned to each of the interactions. A plurality of windows of content are identified within the streaming content. The values of the interactions for each of the landing frames within each of the plurality of windows are accumulated. A particular one of the plurality of windows with a highest accumulated value is selected. A trailer for the content is generated based on the selected particular window and provided.

Abstract: A system and method including monitoring an available storage capacity of a data store onboard a vehicle and annotated data stored therein, the annotated data stored in the data store including event data associated with an operation of the vehicle; automatically deleting, in response to an indication of at least one of the available storage capacity of the data store and the annotated data stored therein, at least a portion of the data from the data store; and generating an output including an indication of a completion of the automatic deleting of the at least a portion of the data.

Abstract: The subject disclosure relates to techniques for automatically editing multimedia content and in particular, to producing expert quality multimedia compositions that match musical transitions with visual transitions and effects. In some aspects, a process of the disclosed technology includes steps for receiving image content items, receiving a cut vector including at least a first-cut time and a second-cut time, and automatically mixing the image content items to produce an edited multimedia sequence, wherein a begin time of the edited multimedia sequence corresponds with the first-cut time, and an end time of the edited multimedia sequence corresponds with the second-cut time. Systems and machine-readable media are also provided.

Abstract: Example embodiments provide systems and methods for crowdsourced skipping of media content portions. In an example method, a plurality of content tags are received from a plurality of media content devices over a communication network. Each of the plurality of content tags may designate a location within a media content item. The content tags are processed to generate aggregated content tags for the media content item. The aggregated content tags may designate one or more portions of the media content item for modified playback. The aggregated content tags for the media content item are transmitted over the communication network to a first media content device separate from the plurality of media content devices.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for intelligent correlation of video and text content using machine learning. Example methods include determining first video content having a first video segment and first text corresponding to the first video segment, generating a first embedded vector using the first video segment and the first text, and determining, using a first machine learning model, a first image relevance score for the first video content based at least in part on the first embedded vector. Example methods may include determining a first text score for the first video content based at least in part on the first embedded vector, determining, using the first image relevance score and the first text score, that the first video segment depicts content of a first undesired category, and causing presentation of a notification indicating presence of content of the first undesired category.

Abstract: A system and computer-implemented method includes providing first item rating scores for items associated with stored item data. The items are arranged in an initial item taxonomy that includes a first item assigned to a first initial item category. The system receives additional item data associated with the first item and transmits the data to a machine learning (ML) execution tool used to identify an applicable computer model. The system retrieves the item data and processes it using the computer model. The system revises the initial item taxonomy to create a revised item taxonomy including a new item category. The system reassigns the item to the new item category and generates one or more achievement requirements for all of the items. The system determines achievement point values for the achievement requirements for each item and calculates a second item rating score based on the achievement point values.

Abstract: A method and apparatus of a device that transforms data is described. In an exemplary embodiment, the device receives data from the plurality of data sources, wherein the plurality of data sources has different data formats. In addition, for each of the plurality of data sources, the device selects a first set of columns for transformation for that data source and expands the selected first set of columns into a set of rows, wherein each of the rows has an identical data format. Furthermore, the device combines the plurality of sets of rows having an identical data format into a transformed data set.

Abstract: Apparatuses, methods, and storage medium associated with a browser for prioritized display of videos and/or photographs are disclosed herein. In embodiments, an apparatus may include one or more processors, devices, and/or circuitry to operate a browser to present a plurality of photos and/or videos for viewing. A subset of the plurality of the photos and/or videos may be selected based on the results of an analysis of sensor data collected by a plurality of wearable sensors. The subset of the plurality of the photos and/or videos may be prioritized over other photos and/or videos from the plurality of the photos and/or videos in terms of presentation space allocated for presentation.

Abstract: A content distribution platform is disclosed. The content distribution platform enables content creators to upload video based content onto the platform. Users can then view the videos or shortened versions of the videos. The videos may be classified/categorizes based on the contents of the video. Based on the categorization/classifications, specific product and service recommendations may be made to users. Recommendations can also be made based on tracking user behavior across the platform.

Abstract: Natural appearance of transition from a predetermined object of two-dimensional content displayed on a two-dimensional display to a three-dimensional display model of an AR display device or vice versa is achieved. Control is performed such that, the transition is performed after switching the two-dimensional content from the motion parallax non-application display to the motion parallax application display. For example, control is performed such that the motion parallax application display is displayed on the two-dimensional display in a case where there is one AR display device, and the motion parallax application display is displayed on the AR display device in a case where there is a plurality of AR display devices.

Abstract: Presented herein are systems, methods, and datasets for automatically and precisely generating highlight or summary videos of content. For example, in one or more embodiments, videos of sporting events may be digested or condensed into highlights, which will dramatically benefit sports media, broadcasters, video creators or commentators, or other short video creators, in terms of cost reduction, fast, and mass production, and saving tedious engineering hours. Embodiment of the framework may also be used or adapted for use to better promote sports teams, players, and/or games, and produce stories to glorify the spirit of sports or its players. While presented in the context of sports, it shall be noted that the methodologies may be used for videos comprising other content and events.

Abstract: In various embodiments, a graph streaming application computes a first distance along a first potential playback path between a first playback position and a first media content block. The graph streaming application then computes a first score for the first media content block based on the first distance and a first probability associated with the first potential playback path. Similarly, the graph streaming application computes a second score for a second media content block based on a second playback position, a second potential playback path, and a second probability associated with the second potential playback path. The graph streaming application compares the first score and the second score to determine that the first media content block should be buffered by a client device. The graph streaming application then causes the first media content block to be stored in a playback buffer for subsequent playback on the client device.

Abstract: A content distribution platform is disclosed. The content distribution platform enables content creators to upload video based content onto the platform. Users can then view the videos or shortened versions of the videos. The videos may be classified/categorizes based on the contents of the video. Based on the categorization/classifications, specific product and service recommendations may be made to users. Recommendations can also be made based on tracking user behavior across the platform.

Abstract: Systems and methods are provided herein for generating optimized video segments. A derivative video segment (e.g., a scene) can be identified from derivative video content (e.g., a movie trailer). The segment may be used a query to search video content (e.g., the movie) for the segment. Once found, an optimized video segment may be generated from the video content. The optimized video segment may have a different start time and/or end time than those corresponding to the original segment. Once optimized, the video segment may be presented to a user or stored for subsequent content recommendations.

Abstract: Reducing artifacts in decoded images includes decoding a first facet of an image, where the first facet includes first edge pixels. A second facet of the image that includes second edge pixels is decoded. The first edge pixels are not adjacent to the second edge pixels and the second facet is decoded independently of the first facet. The first edge pixels are copied to an area adjacent to the second edge pixels. The second edge pixels are filtered using the copied first edge pixels. The second edge pixels are copied to an area adjacent to the first edge pixels. The first edge pixels are filtered using the copied second edge pixels.

Abstract: Methods and systems for time marking of media items at a platform using machine-learning are provided herein. A media item is provided to users of a platform. An indication of the identified media item is provided as input to a machine-learning model that is trained using different feature types of historical media items to predict a plurality of content segments of a given media item each depicting, to the one or more users, a distinct section of the media item. One or more outputs of the machine-learning model are obtained comprising time marks identifying each of the plurality of content segments of the media item. Each of the plurality of content segments are associated with a segment start indicator for a timeline of the media item. The media item and an indication of each segment start indicator is provided for presentation to at least one user.

Abstract: A system is provided that presents video content on an electronic device such that, when a user swipes to dismiss the video content, non-video summary information or contextual material about the video content is automatically displayed in place of the video content. The non-video summary information is presented on a summary card dragged on-screen responsive to user swipe input. If, for example, the user swipes to dismiss a video advertisement before an informational payload of the video advertisement has been delivered, the informational payload can automatically be displayed in text format on a summary card dragged by the user in replacement of the dismissed video advertisement.

Abstract: Methods and systems are described for providing optimal representations of content. A user interface may present content based on one or more images representing the content. User interactions associated with the content may be tracked based on which of the one or more images was used to represent the content. Statistical information may be tracked to determine which groups of users respond to particular images used to represent content. The statistical information may be used to select which images are used to represent the content for additional users.

Abstract: An image acquisition unit acquires a video of a scene around a vehicle while the video is being captured. A recording control unit sets a moving image file for recording the video being captured, segmenting the video into predetermined units and records the video being captured in the moving image file until the predetermined unit is met. When an operation reception unit receives a request to play back a just-before portion while the video is being recorded, the recording control unit sets a subsequent moving image file that will be a new recording destination and closes a preceding moving image file that has been a recording destination, and a display control unit plays back the video, starting at a point of time reached by going back from an end of the preceding moving image file by a predetermined period of time.

Abstract: Provided are a method and apparatus for user guidance, a device and a storage medium. The method includes: acquiring creation guidance information for a user, the creation guidance information being used for guiding the user to use a creation function in an application, and the creation function being used for creating multimedia content. The method further includes: in a case where the application is in an active state, presenting, in an active page of the application, a visual representation corresponding to the creation guidance information. The method further includes: switching, on the basis of interaction associated with the visual representation, from the active page to a creation page associated with the creation function. In this way, the user can be guided and promoted to use the creation function of the application.

Abstract: The present invention enables detection of a sponsorship credit display segment in a broadcast program with higher precision.

Abstract: A method for generation of a video montage file from a plurality of media files is disclosed. The method includes selecting media files from a collection of media files based on a selection criterion, accessing audio feature information for an audio track, the audio feature information including timing information related to audio features of the audio track, generating a first video segment for a first time slot from a first media file, generating a second video segment for a second time slot from a second media file, creating a video montage file by adding the second video segment to the first video segment, and adding the audio track to the video montage file. The selection criterion may comprise a location, a time interval, or presences of the media files in a feed posted by the user on a messaging system or social media platform.

Abstract: Systems and methods for customizing video include providing a portion of video to an electronic display and identifying a character or personality in the portion of video. A request to perform an action regarding the portion of video may be detected and the action may be associated with the identified character or personality. The action may be performed on a second portion of video in response to the character or personality being identified in the second portion of video.

Abstract: A voice recognition system includes a microphone configured to receive one or more spoken dialogue commands from a user in a voice recognition session. The system also includes a processor in communication with the microphone. The processor is configured to receive one or more audio files associated with one or more audio events associated with the voice recognition system, execute the one or more audio files in a voice recognition session in an audio event, and output a log report indicating a result of the audio events with the voice recognition session.

Abstract: Provided are a video processing method and apparatus, an electronic device, and a medium. The method includes that a candidate slice information set of an original video is determined based on video information of the original video, the original video is segmented into a plurality of video segments based on each piece of candidate slice information in the candidate slice information set, the plurality of video segments is input into an evaluation model to determine a piece of probability information of each piece of candidate slice information, and target slice information of the original video is determined based on the piece of probability information corresponding to each piece of candidate slice information.

Abstract: A client device adaptively streams a 360-degree video. A first segment is displayed based on a first viewing direction at a first time, where the first viewing direction is associated with a first viewport. The client requests a first base buffer segment based on the first viewport. The first base buffer segment has a presentation time after the first segment. At a second time, the viewing direction changes to a second viewing direction associated with a second viewport. The client requests, prior to the presentation time, a first viewport buffer segment based on the second viewport, with the same presentation time. The client device displays a second segment at the presentation time, wherein the second segment is either the first viewport buffer segment or the first base buffer segment. The client provides reports on viewport switching latency and on the most-requested segments.

Abstract: The present disclosure discloses a method and apparatus for extracting a video clip, relates to the field of artificial intelligence technology such as video processing, audio processing, and cloud computing. The method includes: acquiring a video, and extracting an audio stream in the video; determining a confidence that audio data in each preset period in the audio stream comprises a preset feature; and extracting a target video clip corresponding to a location of a target audio clip in the video; wherein the target audio clip is an audio clip within a continuous preset period, and has a confidence that the audio data includes the preset feature, which is larger than a preset confidence threshold. This method may improve the accuracy of extracting a video clip.

Abstract: A method for encoding images includes decoding a first encoded image to obtain a first decoded image, where the first decoded image includes a first decoded portion corresponding to a first encoded portion of the first encoded image and a second decoded portion corresponding to a second encoded portion of the first encoded image; decoding a second encoded image to obtain a second decoded image; combining the first decoded image and the second decoded image to obtain a single decoded image; and encoding the single decoded image to obtain a single encoded image that includes a third and a fourth encoded portions. Encoding the single decoded image includes obtaining the third encoded portion of the single encoded image by copying the first encoded portion of the first encoded image; and obtaining the fourth encoded portion of the single encoded image by encoding the second decoded portion using an encoder.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Abstract: Aspects of the subject disclosure may include, for example, receiving data associated with a video, applying the data to a machine learning model to obtain a prediction regarding an accuracy of an assertion included in the video, responsive to the prediction indicating that the assertion is accurate, transmitting the video to a processing system including a processor, and responsive to the prediction indicating that the assertion in inaccurate, preventing a transmission of the video to the processing system. Other embodiments are disclosed.

Abstract: A remapping space may define correspondence between times within a video and times within a time-remapped video. Responsive to user selection of a moment within the video for initiation of time remapping using a selected playback speed, a start point and an end point may be inserted at the selected moment within the remapping space. Responsive to user selection of a segment within the video to apply the selected playback speed in the time remapping, the start point and/or the end point may be moved to change the correspondence between times within the video and times within the time-remapped video.

Abstract: A main stream contains successive content elements of video and/or audio information that encode video and/or audio information at a first data rate. A computation circuit (144) computes main fingerprints from the successive content elements. A reference stream is received having a second data rate lower than the first data rate. The reference stream defines a sequence of the reference fingerprints. A comparator unit (144) compares the main fingerprints with the reference fingerprints. The main stream is monitored for the presence of inserted content elements between original content elements, where the original content elements have main fingerprints that match successive reference fingerprints and the inserted content elements have main fingerprints that do not match reference fingerprints. Rendering of inserted content elements to be skipped. In an embodiment when more than one content element matches only one is rendered.

Abstract: A video signal processing device including a video signal dividing unit that divides a video signal into first to k-th division video signals (k is an integer of 2 or more) for each frame; a video change detecting unit that detects, for each of the first to k-th division video signals, whether or not there has occurred a change in the video signal between the frames, and generates first to k-th video change detection signals representing the detection results; and a video no-change determining unit that generates a video no-change signal indicating that there is no change in the video signal when the number of video change detection signals indicating that there is no change among the first to k-th video change detection signals is greater than a predetermined number.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may boot an operating system; after booting the operating system, determine that a solid state drive has been hot added to a Peripheral Component Interconnect Express (PCIe) port; suppress discovery of the solid state drive by the operating system; determine a policy associated with the solid state drive; determine that a current configuration associated with the solid state drive does not match a configuration associated with the policy associated with the solid state drive; determine that the configuration associated with the policy can be applied to the solid state drive; apply the configuration associated with the policy to the solid state drive without utilizing the operating system; and inform the operating system that the solid state drive has been communicatively coupled to at least one processor via a PCIe root complex.

Abstract: A method and apparatus for deep content tagging. A media device receives one or more first frames of a content item, where the one or more first frames spans a duration of a scene in the content item. The media device detects one or more objects or features in each of the first frames using a neural network model and identifies one or more first genres associated with the first frames based at least in part on the detected objects or features in each of the first frames. The media device further controls playback of the content item based at least in part on the identified first genres.

Abstract: There is provided an apparatus comprising at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: receiving an activity type of a user; receiving sensor data; determining at least one measurement value based on the sensor data; detecting at least one first activity type specific change in the at least one measurement value; and activating a display in response to detecting the at least one first activity type specific change in the at least one measurement value.