Deleting Object in Video Copy-Move Forgery Detection Based on Optical Flow Concept

Abstract

Digital video can be manipulated and edited easily because of the available robust video processing and editing software. In the current times, the digital video and digital image editing tools has contributed to the challenge in authenticating multimedia content in an accurate manner. It is now possible to modify, through adding and removing, pertinent evidence form a video recording without leaving a clue as to the tampering process. Even worse, some post-methods effects, which can insert and deleting object in order to mimic or hide a particular event in the frames of video, are also diffuse. Many endeavors have been focusing to detect like video copy-move manipulate to date; but, the accuracy rates are still far from satisfactory for improvement and the method do not locate the issue of region tampering detection and determine localization. Consequently, the study of this paper is aims to design and develop a new video copy-move forgery detection scheme with high accuracy based on optical flow methods.