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An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery
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Author(s): Yongjian Hu (University of Warwick, UK, & South China University of Technology, China), Chang-Tsun Li (University of Warwick, UK), Yufei Wang (South China University of Technology, China)and Bei-bei Liu (South China University of Technology, China)
Copyright: 2013
Pages: 13
Source title:
Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)
DOI: 10.4018/978-1-4666-4006-1.ch005
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Abstract
Frame duplication is a common way of digital video forgeries. State-of-the-art approaches of duplication detection usually suffer from heavy computational load. In this paper, the authors propose a new algorithm to detect duplicated frames based on video sub-sequence fingerprints. The fingerprints employed are extracted from the DCT coefficients of the temporally informative representative images (TIRIs) of the sub-sequences. Compared with other similar algorithms, this study focuses on improving fingerprints representing video sub-sequences and introducing a simple metric for the matching of video sub-sequences. Experimental results show that the proposed algorithm overall outperforms three related duplication forgery detection algorithms in terms of computational efficiency, detection accuracy and robustness against common video operations like compression and brightness change.
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