TITLE:
Video Inter-Frame Forgery Identification Based on Consistency of Correlation Coefficients of Gray Values
AUTHORS:
Qi Wang, Zhaohong Li, Zhenzhen Zhang, Qinglong Ma
KEYWORDS:
Inter-Frame Forgeries; Content Consistency; Video Forensics
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.4,
March
18,
2014
ABSTRACT:
Identifying inter-frame forgery is a hot
topic in video forensics. In this paper, we propose a method based on the assumption
that the correlation coefficients of gray values is consistent in an original
video, while in forgeries the consistency will be destroyed. We first extract
the consistency of correlation coefficients of gray values (CCCoGV for short)
after normalization and quantization as distinguishing feature to identify
interframe forgeries. Then we test the CCCoGV in a large database with the
help of SVM (Support Vector Machine). Experimental results show that the proposed
method is efficient in classifying original videos and forgeries. Furthermore, the
proposed method performs also pretty well in classifying frame insertion and
frame deletion forgeries.