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.

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430H (4 March 2015); doi: 10.1117/12.2179140

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)