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Subramanyam, A.V. and Emmanuel, S. (2012) Video Forgery Detection Using HOG Features and Compression Properties. 2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP), 89-94.

has been cited by the following article:

• 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.