Selecting and performing operations on hierarchical clusters of video segments

    公开(公告)号:US11631434B2

    公开(公告)日:2023-04-18

    申请号:US17017362

    申请日:2020-09-10

    Applicant: ADOBE INC.

    Abstract: Embodiments are directed to techniques for interacting with a hierarchical video segmentation. In some embodiments, the finest level of the hierarchical segmentation identifies the smallest interaction unit of a video—semantically defined video segments of unequal duration called clip atoms. Each level of the hierarchical segmentation clusters the clip atoms with a corresponding degree of granularity into a corresponding set of video segments. A presented video timeline is segmented based on one of the levels, and one or more segments are selected through interactions with the video timeline (e.g., clicks, drags), by performing a metadata search, or through selection of corresponding metadata segments from a metadata panel. Navigating to a different level of the hierarchy transforms the selection into corresponding coarser or finer video segments defined by the level. Any operation can be performed on selected video segments, including playing back, trimming, or editing.

    SELECTING AND PERFORMING OPERATIONS ON HIERARCHICAL CLUSTERS OF VIDEO SEGMENTS

    公开(公告)号:US20220076705A1

    公开(公告)日:2022-03-10

    申请号:US17017362

    申请日:2020-09-10

    Applicant: ADOBE INC.

    Abstract: Embodiments are directed to techniques for interacting with a hierarchical video segmentation. In some embodiments, the finest level of the hierarchical segmentation identifies the smallest interaction unit of a video—semantically defined video segments of unequal duration called clip atoms. Each level of the hierarchical segmentation clusters the clip atoms with a corresponding degree of granularity into a corresponding set of video segments. A presented video timeline is segmented based on one of the levels, and one or more segments are selected through interactions with the video timeline (e.g., clicks, drags), by performing a metadata search, or through selection of corresponding metadata segments from a metadata panel. Navigating to a different level of the hierarchy transforms the selection into corresponding coarser or finer video segments defined by the level. Any operation can be performed on selected video segments, including playing back, trimming, or editing.

    VIDEO SEGMENTATION BASED ON DETECTED VIDEO FEATURES USING A GRAPHICAL MODEL

    公开(公告)号:US20220076424A1

    公开(公告)日:2022-03-10

    申请号:US17330667

    申请日:2021-05-26

    Applicant: ADOBE INC.

    Abstract: Embodiments are directed to video segmentation based on detected video features. More specifically, a segmentation of a video is computed by determining candidate boundaries from detected feature boundaries from one or more feature tracks; modeling different segmentation options by constructing a graph with nodes that represent candidate boundaries, edges that represent candidate segments, and edge weights that represent cut costs; and computing the video segmentation by solving a shortest path problem to find the path through the edges (segmentation) that minimizes the sum of edge weights along the path (cut costs). A representation of the video segmentation is presented, for example, using interactive tiles or a video timeline that represent(s) the video segments in the segmentation.

    VIDEO SEARCH SEGMENTATION
    30.
    发明申请

    公开(公告)号:US20220076025A1

    公开(公告)日:2022-03-10

    申请号:US17330677

    申请日:2021-05-26

    Applicant: ADOBE INC.

    Abstract: Embodiments are directed to video segmentation based on a query. Initially, a first segmentation such as a default segmentation is displayed (e.g., as interactive tiles in a finder interface, as a video timeline in an editor interface), and the default segmentation is re-segmented in response to a user query. The query can take the form of a keyword and one or more selected facets in a category of detected features. Keywords are searched for detected transcript words, detected object or action tags, or detected audio event tags that match the keywords. Selected facets are searched for detected instances of the selected facets. Each video segment that matches the query is re-segmented by solving a shortest path problem through a graph that models different segmentation options.

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