A Simple Difference Based Inter Frame Video Forgery Detection and Localization

A video becomes forged, if it is altered by changing the information contained within a frame or by changing the original sequencing of frames by deleting some frames or adding some frames in between, referred to as intra-frame forgery and inter-frame forgery respectively. This paper proposes an effective method for inter-frame video forgery detection which is capable of detecting duplication of frames, deletion of frames and also insertion of frames in the video. The method proposed is also capable of locating the forgery. There are many other existing methods which detect video forgery using features such as correlation coefficient between adjacent frames, optical flow, Zernike moment and so on. The proposed method detects forgery in a simple method compared to the existing ones. It consumes less computational power and time. The fact that manipulation done on the video alters the original sequencing of frames, which can be detected by examining the difference in pixel intensities of adjacent frames is made use of by this method. This method separates the frames of the video and uses the difference in pixel intensities of adjacent frames in two different ways to detect forgery. The original sequence of frames in the video follows a smooth pattern of adjacent frame differences, but any change occurring to the sequencing causes spikes. By checking the presence of these spikes, forgery along with the location of forgery can be detected. This method is found to have better accuracy compared to state-of-the-art methods and experimentation is done using the publicly available datasets.