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.
Highlights
Nowadays with the ongoing development of video editing techniques, it becomes increasingly easy to modify the digital videos
A kind of distinguishing method which is based on video content and composed of copy-move detection and inter-frame tampering detection becomes a hot topic in video forensics
We propose a simple yet efficient method based on consistency of correlation coefficients of gray values (CCCoGV for short in the following text) to distinguish inter-frame forgeries from original videos
Summary
Nowadays with the ongoing development of video editing techniques, it becomes increasingly easy to modify the digital videos. People can identify the authenticity of a given video. A kind of distinguishing method which is based on video content and composed of copy-move detection and inter-frame tampering detection becomes a hot topic in video forensics. Leida et al [2] presented a method to detect the removed object in video by employing the magnitude and orientation of motion vectors. A.V. et al [3] detected the spatial and temporal copy-paste tampering based on Histogram of Oriented Gradients (HOG) feature matching and video compression properties. Juan et al [4] presented a model based optical flow consistency to detect video forgery as inter-frame forgery will disturb the optical flow consistency. Tianqiang et al [5] proposed a method using gray values to represent the video content
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