Improved video copy detection algorithm based on multi-scale Harris feature points

Yan Yan Hou

doi:10.1117/12.2179140

4 March 2015 Improved video copy detection algorithm based on multi-scale Harris feature points

Yan Yan Hou

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430H (2015) https://doi.org/10.1117/12.2179140
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

In order to meet the real-time requirement of video copy detection, a robust video copy detection algorithm is proposed. Harris feature points is extracted based on local feature descriptor, video frames are divided into blocks and video fingerprints are generated by calculating video feature point amplitude and angle differences. The matching result graph is formed based on video matching frames, copy video is detection by searching the longest path of the graph. Compared with other video detection algorithm, proposed algorithm is with good robustness and discrimination accuracy, experiment proved that detection speed is improved further.

Citation Download Citation

Yan Yan Hou "Improved video copy detection algorithm based on multi-scale Harris feature points", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430H (4 March 2015); https://doi.org/10.1117/12.2179140

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