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An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery

An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery

Yongjian Hu, Chang-Tsun Li, Yufei Wang, Bei-bei Liu
Copyright: © 2012 |Volume: 4 |Issue: 3 |Pages: 13
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466611610|DOI: 10.4018/jdcf.2012070102
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MLA

Hu, Yongjian, et al. "An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery." IJDCF vol.4, no.3 2012: pp.20-32. http://doi.org/10.4018/jdcf.2012070102

APA

Hu, Y., Li, C., Wang, Y., & Liu, B. (2012). An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery. International Journal of Digital Crime and Forensics (IJDCF), 4(3), 20-32. http://doi.org/10.4018/jdcf.2012070102

Chicago

Hu, Yongjian, et al. "An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery," International Journal of Digital Crime and Forensics (IJDCF) 4, no.3: 20-32. http://doi.org/10.4018/jdcf.2012070102

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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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