Spatiotemporal video copy detection based on visual perception analyses

被引：1

作者：

Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Institute of Computing Technology, Chinese Academy of Sciences

[2] Graduate University, Chinese Academy of Sciences

[3] Department of Electronic Information Science and Technology, Beijing Normal University

来源：

Jisuanji Xuebao | 2009年 / 1卷 / 107-114期

关键词：

DCT; Spatiotemporal correlation; Spatiotemporal slice; Video copy detection; Visual perception;

D O I：

10.3724/SP.J.1016.2009.00107

中图分类号：

学科分类号：

摘要：

A novel spatiotemporal video copy detection method based on visual perception features is proposed in this paper. The method differs from the conventional video copy detection algorithms in that it does not using key frame based features any more. By extracting visual perception based spatiotemporal correlation of slice in frequency domain using DCT, the proposed method possesses both robustness and discriminability for video copy detection. It copes well with not only the format, resolution variation of video but also the aspect ratio change. Even more, the method is robust to display format conversion such as adding pillar-box. The experiment results show the proposed method is effective and robust.

引用

页码：107 / 114

页数：7

共 15 条

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