Inter-frame video forgery detection based on multi-level subtraction approach for realistic video forensic applications
Chee Cheun Huang, Ying Zhang, Vrizlynn L. L. Thing · 2017
Video forgery acts have been increasing in recent years due to the easy accessibility of sophisticated video editing software. Criminals may be using video tampering as a way to get acquitted on the basis that the video evidences presented in court could not prove that they have performed the crime at a particular time or place. For high profile criminal court cases, it is likely that a video that is altered slightly will be considered as unacceptable. A highly accurate forgery detection system can therefore help in ensuring the authenticity of the video evidences. In this paper, a novel Multi-Level Subtraction (MLS) approach was proposed for video frame insertion forgery detection achieving a recall rate of 93.92% and precision rate of 100% on a forensically realistic video database. Experiments also demonstrated the efficacy of MLS system in system accuracy over other modern video forgery detection techniques available today.