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An improved fingerprinting algorithm for detection of video frame duplication forgery

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posted on 2013-01-01, 00:00 authored by Y Hu, Y Wang, Chang-Tsun LiChang-Tsun Li, B B Liu
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 security

Chapter number

5

Pagination

64 - 76

Publisher

IGI Global

Place of publication

Hershey, Pa.

ISBN-13

9781466640061

ISBN-10

1466640065

Language

eng

Publication classification

B1.1 Book chapter

Copyright notice

2013, IGI Global

Extent

16

Editor/Contributor(s)

Chang Li

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