Share Email Print

Proceedings Paper

Improved video copy detection algorithm based on multi-scale Harris feature points
Author(s): Yan Yan Hou
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

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
Show Author Affiliations
Yan Yan Hou, Zaozhuang Univ. (China)

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

© SPIE. Terms of Use
Back to Top