A New Video Copy Detection Algorithm of High Robustness

CHEN Xiu-xin; JIA Ke-bin; DENG Zhi-pin; ZHUANG Xin-yue

Journal of Beijing University of Technology > 2011 > 37(5): 691-696.

CHEN Xiu-xin, JIA Ke-bin, DENG Zhi-pin, ZHUANG Xin-yue. A New Video Copy Detection Algorithm of High Robustness[J]. Journal of Beijing University of Technology, 2011, 37(5): 691-696.

Citation:

CHEN Xiu-xin, JIA Ke-bin, DENG Zhi-pin, ZHUANG Xin-yue. A New Video Copy Detection Algorithm of High Robustness[J]. Journal of Beijing University of Technology, 2011, 37(5): 691-696.

Citation:

CHEN Xiu-xin, JIA Ke-bin, DENG Zhi-pin, ZHUANG Xin-yue. A New Video Copy Detection Algorithm of High Robustness[J]. Journal of Beijing University of Technology, 2011, 37(5): 691-696.

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A New Video Copy Detection Algorithm of High Robustness

1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;
2. College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China

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Received Date: April 16, 2009
Available Online: November 18, 2022

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Abstract

To solve the problems of high computation and low robustness that exist in present video copy detection methods,a new video copy detection method is proposed.This algorithm uses spatio-temporal feature curves of the video to describe the video content.Each frame in the video is divided into several blocks according to the entropy in it and each block's spatio-temporal feature curves are extracted to serve as descriptors of its content.A robust matching method is adopted to match the two videos' feature curves.The experiments show the effectiveness and robustness of the algorithm.
- copy protection,
- video copy detection,
- spatio-temporal feature,
- information retrieval

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References (14)

References

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