A Comprehensive Approach for Exposing Inter-Frame Video Forgeries

Validating the authenticity and integrity of videos appearing on mass and social media is a challenging problem with rapid technological advancement in video editing software. Video editing can be easily accomplished without much effort; however, the consequences can be severe. Tampering of digital video in the temporal domain involves a number of techniques like replication, insertion, shuffling and removal of frames which can be performed even by naive users. Evidences presented in video formats are more appealing and acceptable in the court of law. Therefore, it is important to devise techniques for video forgery detection in digital forensics. In this paper, we propose a comprehensive tamper detection method that exploits abnormalities in the spatio-temporal domain along with that in the compressed domain. Frame shuffling detection which remained as an unexplored area for long time is addressed in our work. We are able to localize and differentiate the type of tampering present in video. Experimental results on 78 videos show that the proposed method outperforms an existing method in terms of accuracy.