A video forensic technique for detecting frame integrity using human visual system-inspired measure

Digital videos have been widely used for security purposes; hence, a significant research effort has been devoted to develop video forensic technology. Forensic video analysis aims to solve two main problems: (1) finding evidence present in a video, and (2) authenticating the original video source. In this paper, we propose an automatic jump-cut detection system to evaluate video altering and tampering using a novel, low-cost and accurate video forensic technique using Human Visual System-inspired measure, which can detect alterations that the human eye may not be able to perceive. Our method is intended to qualify the integrity of digital video content. The experimental results demonstrate that our measurement is able to perform a reliable identification and authorization for digital video forensic applications.