Robust copy detection by mining temporal self-similarities

Authors:
Zhipeng Wu;Qingming Huang;Shuqiang Jiang
Affiliations:
Graduate University of Chinese Academy of Sciences, Beijing, China;Graduate University of Chinese Academy of Sciences and Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China;Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) descriptor for SSM matching. SSM, which exploits the spatial and temporal information in a video clip, is extracted from exhaustive calculation of distances between the frames. The SSM based method treats the video clip as a whole and transforms the temporal self-similarity into a matrix. Moreover, by implementing the proposed VCS descriptor, the problem of SSM alignment failure and size variation can also be solved properly. Experimental evaluations based on CIVR07 Copy Detection Corpus validate the effectiveness of the proposed solution.