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Optical Engineering

Robust video copy detection approach based on local tangent space alignment
Author(s): Xiushan Nie; Qianping Qiao
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Paper Abstract

We propose a robust content-based video copy detection approach based on local tangent space alignment (LTSA), which is an efficient dimensionality reduction algorithm. The idea is motivated by the fact that the content of video becomes richer and the dimension of content becomes higher. It does not give natural tools for video analysis and understanding because of the high dimensionality. The proposed approach reduces the dimensionality of video content using LTSA, and then generates video fingerprints in low dimensional space for video copy detection. Furthermore, a dynamic sliding window is applied to fingerprint matching. Experimental results show that the video copy detection approach has good robustness and discrimination.

Paper Details

Date Published: 6 April 2012
PDF: 9 pages
Opt. Eng. 51(4) 047001 doi: 10.1117/1.OE.51.4.047001
Published in: Optical Engineering Volume 51, Issue 4
Show Author Affiliations
Xiushan Nie, Shandong Univ. of Finance (China)
Qianping Qiao, Shandong Normal Univ. (China)


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