文章基本信息

标题：Video Inter-Frame Forgery Identification Based on Consistency of Correlation Coefficients of Gray Values
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作者：Qi Wang ; Zhaohong Li ; Zhenzhen Zhang 等
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2014
卷号：2
期号：4
页码：51-57
DOI：10.4236/jcc.2014.24008
出版社：Scientific Research Publishing
摘要：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.
关键词：Inter-Frame Forgeries; Content Consistency; Video Forensics