Motion Layer Based Object Removal in Videos

Yunjun Zhang, Jiangjian Xiao, Mubarak Shah

Abstract: This paper proposes a novel method to generate plausible video sequences after removing relatively large objects from the original videos. In order to maintain temporal coherence among the frames, a motion layer segmentation method is applied. Then, a set of synthesized layers are generated by applying motion compensation and region completion algorithm. Finally, a new video, in which the selected object is removed, is plausibly rendered given the synthesized layers and the motion parameters. A number of example videos are shown in the results to demonstrate the effectiveness of our method