发明申请
- 专利标题: IDENTIFYING KEY FRAMES USING GROUP SPARSITY ANALYSIS
- 专利标题(中): 使用群体空间分析识别关键框架
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申请号: US13565911申请日: 2012-08-03
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公开(公告)号: US20140037215A1公开(公告)日: 2014-02-06
- 发明人: Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
- 申请人: Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
- 主分类号: G06K9/48
- IPC分类号: G06K9/48
摘要:
A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. A set of key video frames are selected based on the determined video frame clusters.
公开/授权文献
- US08913835B2 Identifying key frames using group sparsity analysis 公开/授权日:2014-12-16
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