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.
Cite
@article{arxiv.1503.00843,
title = {A Survey On Video Forgery Detection},
author = {Sowmya K. N. and H. R. Chennamma},
journal= {arXiv preprint arXiv:1503.00843},
year = {2015}
}
Comments
11 pages, 3 figures, International Journal of Computer Engineering and Applications, Volume IX, Issue II, February 2015