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公开(公告)号：US20210166035A1
公开(公告)日：2021-06-03
申请号：US17120525
申请日：2020-12-14
申请人： Google LLC
发明人： Sanketh Shetty , Tomas Izo , Min-Hsuan Tsai , Sudheendra Vijayanarasimhan , Apostol Natsev , Sami Abu-El-Haija , George Dan Toderici , Susana Ricco , Balakrishnan Varadarajan , Nicola Muscettola , WeiHsin Gu , Weilong Yang , Nitin Khandelwal , Phuong Le
IPC分类号： G06K9/00 , G06F16/783
摘要： A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.
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公开(公告)号：US12014542B2
公开(公告)日：2024-06-18
申请号：US17120525
申请日：2020-12-14
申请人： Google LLC
发明人： Sanketh Shetty , Tomas Izo , Min-Hsuan Tsai , Sudheendra Vijayanarasimhan , Apostol Natsev , Sami Abu-El-Haija , George Dan Toderici , Susana Ricco , Balakrishnan Varadarajan , Nicola Muscettola , WeiHsin Gu , Weilong Yang , Nitin Khandelwal , Phuong Le
IPC分类号： G06K9/00 , G06F16/783 , G06V20/40
CPC分类号： G06V20/41 , G06F16/7834 , G06V20/46 , G06V20/47 , G06V20/49 , G06V2201/10
摘要： A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.
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公开(公告)号：US10777229B2
公开(公告)日：2020-09-15
申请号：US16505046
申请日：2019-07-08
申请人： Google LLC
发明人： Weilong Yang , Min-hsuan Tsai , Zheng Sun , Pei Cao , Tomas Izo
IPC分类号： G11B27/034 , G11B27/031 , G11B27/28 , G11B27/32 , H04N21/234 , H04N21/8549 , H04N17/00 , H04N5/225 , G06T7/20 , G06T7/00 , G06F16/73 , G06F40/169 , G06K9/00 , G06F16/738 , G11B27/10
摘要： Frame-level quality scores for video frames of a video item is determined. A sliding window is applied to the video frames to identify a plurality of groups of the video frames for scoring on a group-level. A plurality of group-level quality scores for the plurality of groups of video frames of the video item is determined using the frame-level quality scores of the video frames. One of the plurality of groups of video frames of the video item is selected based on the plurality of group-level quality scores. A moving thumbnail is created using the selected group of video frames selected based on the respective group level quality score.
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公开(公告)号：US20190333538A1
公开(公告)日：2019-10-31
申请号：US16505046
申请日：2019-07-08
申请人： Google LLC
发明人： Weilong Yang , Min-hsuan Tsai , Zheng Sun , Pei Cao , Tomas Izo
IPC分类号： G11B27/034 , H04N17/00 , G11B27/28 , G11B27/32 , H04N21/234 , G06F16/738 , H04N21/8549 , G06T7/00 , G11B27/031 , G11B27/10 , G06T7/20
摘要： Frame-level quality scores for video frames of a video item is determined. A sliding window is applied to the video frames to identify a plurality of groups of the video frames for scoring on a group-level. A plurality of group-level quality scores for the plurality of groups of video frames of the video item is determined using the frame-level quality scores of the video frames. One of the plurality of groups of video frames of the video item is selected based on the plurality of group-level quality scores. A moving thumbnail is created using the selected group of video frames selected based on the respective group level quality score.
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公开(公告)号：US20180239964A1
公开(公告)日：2018-08-23
申请号：US15959858
申请日：2018-04-23
申请人： Google LLC
发明人： Sanketh Shetty , Tomas Izo , Min-Hsuan Tsai , Sudheendra Vijayanarasimhan , Apostol Natsev , Sami Abu-El-Haija , George Dan Toderici , Susanna Ricco , Balakrishnan Varadarajan , Nicola Muscettola , WeiHsin Gu , Weilong Yang , Nitin Khandelwal , Phuong Le
CPC分类号： G06K9/00718 , G06F16/7834 , G06K9/00744 , G06K9/00751 , G06K9/00765 , G06K2209/27
摘要： A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.
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公开(公告)号：US09953222B2
公开(公告)日：2018-04-24
申请号：US14848216
申请日：2015-09-08
申请人： Google LLC
发明人： Sanketh Shetty , Tomas Izo , Min-Hsuan Tsai , Sudheendra Vijayanarasimhan , Apostol Natsev , Sami Abu-El-Haija , George Dan Toderici , Susanna Ricco , Balakrishnan Varadarajan , Nicola Muscettola , WeiHsin Gu , Weilong Yang , Nitin Khandelwal , Phuong Le
CPC分类号： G06K9/00718 , G06F17/30787 , G06K9/00744 , G06K9/00751 , G06K9/00765 , G06K2209/27
摘要： A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.
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