Exposing Digital Forgeries in the Video by Detecting Frame Duplication

In latest years, video forgery detection has become an important issue. With the availability of free sophisticated video editing tools and software on the internet, it has become very easy to forge any digital video. A common form of forgery is to duplicate frames or parts of a frame to remove people or objects from a video. In this paper, we have proposed a new method based on sensor noise residue features to detect frame duplication in low and high compressed videos. Experimental results demonstrate the commendable performance of proposed method.