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Visual words based spatiotemporal sequence matching in video copy detection

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5 Author(s)
Huamin Ren ; Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ; Shouxun Lin ; Dongming Zhang ; Sheng Tang
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This paper proposes a novel content-based copy retrieval scheme for video copy identification. Its goal is to detect matches between a doubtful video and the ones stored in the database of the legal holders of the videos. Due to various transformations the copy may has, we use visual words vector as a representation of a frame which is based on SIFT descriptor. Unlike traditional bag-of-words (BoW) based approach applied in semantic retrieval, in which the temporal variation during the video is always neglected, our matching algorithm takes into account spatial and temporal distances between a query clip and the one in database. Experiments show robustness and effectiveness of our approach according to various single and compound transformations.

Published in:

2009 IEEE International Conference on Multimedia and Expo

Date of Conference:

June 28 2009-July 3 2009