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作者:

Chen, Xiuxin (Chen, Xiuxin.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌) | Deng, Zhipin (Deng, Zhipin.)

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摘要:

This paper introduces a new video copy detection method base on the combination of video Y and U spatiotemporal feature curves and key frames. In this new method, the feature curves are extracted from the video, and then two videos' feature curves are compared to determine whether they have the same content or not. In the comparing process, Grads comparison method and Exception Factor are used. To improve retrieval precision for videos like films, a method based on clips and key frames is added after spatio-temporal feature curves based retrieval. The new algorithm can largely reduce the data amount of video copy detection. Experimental results show the effectiveness and robustness of the method. © 2011 IEEE.

关键词:

Computer networks Electronics engineering Electronics industry Feature extraction Information systems

作者机构:

  • [ 1 ] [Chen, Xiuxin]College of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China
  • [ 2 ] [Chen, Xiuxin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Jia, Kebin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Deng, Zhipin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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年份: 2011

页码: 1019-1022

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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