Content type detection in videos using multiple classifiers

    公开(公告)号:US11416546B2

    公开(公告)日:2022-08-16

    申请号:US15926569

    申请日:2018-03-20

    申请人: HULU, LLC

    摘要: In one embodiment, a method receives a set of frames from a video at a first classifier. The first classifier classifies the set of frames with classification scores that indicate a confidence that a frame contains end credit content using the first classifier using a first model that classifies content from the set of frames. A second classifier then refines the classification scores from neighboring frames in the set of frames using a second classifier using a second model that classifies classification scores from the first classifier. A boundary point is selected between a frame in the set of frames considered not including end credit content and a frame in the set of frames including end credit content based on the refined classification scores.

    Content Type Detection In Videos Using Multiple Classifiers

    公开(公告)号:US20190294729A1

    公开(公告)日:2019-09-26

    申请号:US15926569

    申请日:2018-03-20

    申请人: HULU, LLC

    IPC分类号: G06F17/30 G06K9/00 H04N21/234

    摘要: In one embodiment, a method receives a set of frames from a video at a first classifier. The first classifier classifies the set of frames with classification scores that indicate a confidence that a frame contains end credit content using the first classifier using a first model that classifies content from the set of frames. A second classifier then refines the classification scores from neighboring frames in the set of frames using a second classifier using a second model that classifies classification scores from the first classifier. A boundary point is selected between a frame in the set of frames considered not including end credit content and a frame in the set of frames including end credit content based on the refined classification scores.