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An Effective Detection Method for Video Inter-frame Forgery

Xu Jie, Liang Yuyan


The applications of image processing software such as Photoshop, Pro Premiere, challenge the integrity and authenticity of videos. This paper proposes a new method to detect the forgeries of videos. The method is extracting a row (column) of pixels from every frame of a video sequence. Then every continuous four pixel line makes up a pixel belt. The correlation between pixel belts will be calculated by using the histogram intersection method. Finally Box Plot will be used to detect the outliers that exist in correlation coefficients. The outliers are basic judgments of video forgery model. The simulation results show that our method could perfectly detect the forgery and local its position.

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