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| Video Copy Detection Based on Spatio-Temporal Feature |
| ZHANG Zhi-Jie, ZOU Jian-Hua |
| State Key Laboratory for Manufacturing Systems Engineering,Systems Engineering Institute,Xian Jiaotong University,Xian 710049 |
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Abstract A video copy detection method based on affine invariant and compact spatio-temporal feature is proposed. The proposed method is based on the maximally stable extremal blocks (MSEB), and the use of the MSEB is more in conformity with characteristics of the human visual feeling perception than that of local features. Firstly, several continuous frames of a video are piled into a 3-D video cube. Then, the MSEB in each cube are detected based on the watershed thoughts. After the detection of MSEB, each MESB is described by a serial of 3-D moment invariants. Finally, copies of videos are accurately identified by the MSEB. The experimental results show that the proposed method is effective in matching.
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Received: 25 February 2011
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2012, Vol. 25 
