Review on Video Forgery Detection

Abstract

The present study employed a video authentication method that detects and determines both region duplication and frame duplication in terms of video forgery, and locates factors that impact video forgery. In the present study, video processing into sub-blocks and the moments geometric features for every macro-block were extracted. This led to the enhanced accuracy of detection. Moreover, the optimum sorting algorithm led to minimized computational time taking account number of blocks and features numbers into consideration.
Keywords: Video Forgery Detection; Group Of Pictures (GOP); Copy–Move Forgery Detection