Journal
INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS
Volume 4, Issue 3, Pages 20-32Publisher
IGI GLOBAL
DOI: 10.4018/jdcf.2012070102
Keywords
Algorithm; Digital Fingerprint; Forgery Detection; Frame Duplication; Temporally Informative Representative Images-Discrete Cosine Transform (TIRI-DCT)
Funding
- EU [251677]
- Central Universities, SCUT [2012ZM0027]
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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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