Inter-frame video forgery detection based on multi-level subtraction approach for realistic video forensic applications

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.