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A Survey On Video Forgery Detection

The Digital Forgeries though not visibly identifiable to human perception it may alter or meddle with underlying natural statistics of digital content. Tampering involves fiddling with video content in order to cause damage or make unauthorized alteration/modification. Tampering detection in video is cumbersome compared to image when considering the properties of the video. Tampering impacts need to be studied and the applied technique/method is used to establish the factual information for legal course in judiciary. In this paper we give an overview of the prior literature and challenges involved in video forgery detection where passive approach is found.

preprint2015arXivOpen access
Sowmya K. N.H. R. Chennamma
Computer VisionMultimedia
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Sowmya K. N.H. R. Chennamma

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