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公开(公告)号：US20220076026A1
公开(公告)日：2022-03-10
申请号：US17330718
申请日：2021-05-26
Applicant: ADOBE INC.
Inventor： Seth Walker , Hijung Shin , Cristin Ailidh Fraser , Aseem Agarwala , Lubomira Dontcheva , Joel Richard Brandt , Jovan Popovic , Joy Oakyung Kim , Justin Salamon , Jui-hsien Wang , Timothy Jeewun Ganter , Xue Bai , Dingzeyu Li
Abstract: Embodiments are directed to a thumbnail segmentation that defines the locations on a video timeline where thumbnails are displayed. Candidate thumbnail locations are determined from boundaries of feature ranges of the video indicating when instances of detected features are present in the video. In some embodiments, candidate thumbnail separations are penalized for being separated by less than a minimum duration corresponding to a minimum pixel separation (e.g., the width of a thumbnail) between consecutive thumbnail locations on a video timeline. The thumbnail segmentation is computed by solving a shortest path problem through a graph that models different thumbnail locations and separations. As such, a video timeline is displayed with thumbnails at locations on the timeline defined by the thumbnail segmentation, with each thumbnail depicting a portion of the video associated with the thumbnail location.
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公开(公告)号：US20220076023A1
公开(公告)日：2022-03-10
申请号：US17017344
申请日：2020-09-10
Applicant: ADOBE INC.
Inventor： Hijung Shin , Xue Bai , Aseem Agarwala , Joel R. Brandt , Jovan Popovic , Lubomira Dontcheva , Dingzeyu Li , Joy Oakyung Kim , Seth Walker
Abstract: Embodiments are directed to segmentation and hierarchical clustering of video. In an example implementation, a video is ingested to generate a multi-level hierarchical segmentation of the video. In some embodiments, the finest level identifies a smallest interaction unit of the video—semantically defined video segments of unequal duration called clip atoms. Clip atom boundaries are detected in various ways. For example, speech boundaries are detected from audio of the video, and scene boundaries are detected from video frames of the video. The detected boundaries are used to define the clip atoms, which are hierarchically clustered to form a multi-level hierarchical representation of the video. In some cases, the hierarchical segmentation identifies a static, pre-computed, hierarchical set of video segments, where each level of the hierarchical segmentation identifies a complete set (i.e., covering the entire range of the video) of disjoint (i.e., non-overlapping) video segments with a corresponding level of granularity.
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