li-improvedfingerprinting-2012.pdf (1.04 MB)
An improved fingerprinting algorithm for detection of video frame duplication forgery
journal contribution
posted on 2012-07-01, 00:00 authored by Y Hu, Chang-Tsun LiChang-Tsun Li, Y Wang, B B LiuFrame 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.
History
Journal
International journal of digital crime and forensicsVolume
4Issue
3Season
Jul-SepPagination
20 - 32Publisher
IGI GlobalLocation
Hershey, Pa.Publisher DOI
ISSN
1941-6210eISSN
1941-6229Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2012, IGI GlobalUsage metrics
Categories
No categories selectedKeywords
AlgorithmDigital FingerprintForgery DetectionFrame DuplicationTemporally Informative Representative Images- Discrete Cosine Transform (TIRI-DCT)Science & TechnologyTechnologyComputer Science, Interdisciplinary ApplicationsComputer ScienceTemporally Informative Representative Images-Discrete Cosine Transform (TIRI-DCT)
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