A common type of video forgery is inter-frame forgery, which occurs in the temporal domain, such as frame duplication, frame insertion, and frame deletion.Some existing methods are not effective to detect forgeries in static scenes.This HOW A RESEARCH ARTICLE INTRUDUCTION STRUCTURED? THE ANALYSIS OF SWALES MODEL (CARS) ON ENGLISH RESEARCH ARTICLE INTRODUCTIONS work proposes static and dynamic scene segmentation and performs forgery detection for each scene.Scene segmentation is performed Public-Private Partnership and Circular Economy—What Croatian Students Learn at University for outlier detection based on changes of optical flow.
Various similarity checks are performed to find the correlation for each frame.The experimental results showed that the proposed method is effective in identifying forgeries in various scenes, especially static scenes, compared with existing methods.