li-improvedfingerprinting-2013.pdf (996.09 kB)
An improved fingerprinting algorithm for detection of video frame duplication forgery
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.
History
Title of book
Emerging digital forensics applications for crime detection, prevention, and securityChapter number
5Pagination
64 - 76Publisher
IGI GlobalPlace of publication
Hershey, Pa.Publisher DOI
ISBN-13
9781466640061ISBN-10
1466640065Language
engPublication classification
B1.1 Book chapterCopyright notice
2013, IGI GlobalExtent
16Editor/Contributor(s)
Chang LiUsage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC