Scene Segmentation for Interframe Forgery Identification

Scene Segmentation for Interframe Forgery Identification

Blog Article

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 life extension blueberry extract existing methods are not effective to detect forgeries in static scenes.This work proposes static and dynamic scene segmentation and performs forgery detection here for each scene.Scene segmentation is performed 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.