发明授权
- 专利标题: Identifying key frames using group sparsity analysis
- 专利标题(中): 使用组稀疏分析识别关键帧
-
申请号: US13565911申请日: 2012-08-03
-
公开(公告)号: US08913835B2公开(公告)日: 2014-12-16
- 发明人: Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
- 申请人: Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
- 申请人地址: US NY Rochester
- 专利权人: Kodak Alaris Inc.
- 当前专利权人: Kodak Alaris Inc.
- 当前专利权人地址: US NY Rochester
- 代理机构: Hogan Lovells US LLP
- 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
- US20140037215A1 IDENTIFYING KEY FRAMES USING GROUP SPARSITY ANALYSIS 公开/授权日:2014-02-06
信息查询