TRANSLATING TEXTS FOR VIDEOS BASED ON VIDEO CONTEXT

    公开(公告)号:US20210141867A1

    公开(公告)日:2021-05-13

    申请号:US16678378

    申请日:2019-11-08

    Applicant: Adobe Inc.

    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that can generate contextual identifiers indicating context for frames of a video and utilize those contextual identifiers to generate translations of text corresponding to such video frames. By analyzing a digital video file, the disclosed systems can identify video frames corresponding to a scene and a term sequence corresponding to a subset of the video frames. Based on images features of the video frames corresponding to the scene, the disclosed systems can utilize a contextual neural network to generate a contextual identifier (e.g. a contextual tag) indicating context for the video frames. Based on the contextual identifier, the disclosed systems can subsequently apply a translation neural network to generate a translation of the term sequence from a source language to a target language. In some cases, the translation neural network also generates affinity scores for the translation.

    ADAPTIVE SEARCH RESULTS FOR MULTIMEDIA SEARCH QUERIES

    公开(公告)号:US20210103615A1

    公开(公告)日:2021-04-08

    申请号:US16591847

    申请日:2019-10-03

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve adaptive search results for multimedia search queries to provide dynamic previews. For instance, a computing system receives a search query that includes a keyword. The computing system identifies, based on the search query, a video file having keyframes with content tags that match the search query. The computing system determines matching scores for respective keyframes of the identified video file. The computing system generates a dynamic preview from at least two keyframes having the highest matching scores.

    PROVIDING CONTEXT AWARE VIDEO SEARCHING

    公开(公告)号:US20210098026A1

    公开(公告)日:2021-04-01

    申请号:US16588662

    申请日:2019-09-30

    Applicant: Adobe Inc.

    Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can generate a context-aware-video-progress bar including a video-scene-proportionate timeline with time-interval sections sized according to relative scene proportions within time intervals of a video. In some implementations, for instance, the disclosed systems determine relative proportions of scenes within a video across time intervals of the video and generate a video-scene-proportionate timeline comprising time-interval sections sized proportionate to the relative proportions of scenes across the time intervals. By integrating the video-scene-proportionate timeline within a video-progress bar, the disclosed systems generate a context-aware-video-progress bar for a video. Such a context-aware-video-progress bar can facilitate more precise and intelligent scrubbing through a video, a dynamic graphical user interface for navigating within and identifying frames of the video, and a flexible user-friendly tool for quickly identifying scenes.

    Extracting Session Information From Video Content To Facilitate Seeking

    公开(公告)号:US20200236421A1

    公开(公告)日:2020-07-23

    申请号:US16253120

    申请日:2019-01-21

    Applicant: Adobe Inc.

    Abstract: A seek content extraction system analyzes frames of video content and identifies locations in the frames where session information is displayed. This session information refers to information that is displayed as part of video content and that describes, for a particular location in the video content, what is currently happening in the video content at that particular location. This session information is extracted from each of multiple frames, and for a given frame the extracted session information is associated with the frame. While the user is seeking forward or backward through the video content, a thumbnail of the frame at a given location in the video content is displayed along with the extracted session information associated with the frame.

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