Video Tampering Detection Using Difference-Hashing Algorithm

Abstract

Videos plays an important role in the judgement of many criminal cases. It can be considered as an evidence in every step in the criminal justice process. Since it is involved in the judgement, the integrity of the video is very much important. If anything gets tampered in the video, it leads to misconception in the process. Video tampering detection is a technique of finding whether the video content is modified or not. Alteration of video contents is rising speedily because of increasing video procurement gadgets and enormous programming devices to alter the video content. This integrity check can be done by either active or passive techniques. Along these lines our zone of worry in our research work is to display our perspectives on various passive video tampering detection techniques to check its correctness. Passive techniques are assembled into ensuing three arrangements relying upon the kind of counterfeiting. There are different methods to perform video tampering detection but passive methods prove more effective in terms of maintaining the originality of the video. Even in passive methods, hashing has been the sort after approach because of its accuracy and so we have adopted Difference hashing algorithm (D-Hash) to perform tampering detection.