Video Inpainting on Digitized Old Films

Authors:
Nick C. Tang;Hong-Yuan Mark Liao;Chih-Wen Su;Fay Huang;Timothy K. Shih
Affiliations:
Institute of Information Science, Academia Sinica, Taiwan;Institute of Information Science, Academia Sinica, Taiwan;Institute of Information Science, Academia Sinica, Taiwan;Institute of Computer Science and Information Engineering, National Ilan University, Taiwan;Department of Computer Science, National Taipei University of Education, Taiwan
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

Video inpainting is often used as a tool to assist user in removing objects or repairing damaged areas in a video. To deal with different kinds of video, several techniques such as object segmentation and temporal continuity maintenance are commonly adopted. In this paper, we extend the concept of exemplar-based inpainting to propose a new video inpainting algorithm which can realize object removal both in modern digital video and digitized aged films. Furthermore, a new patch searching strategy and a new patch adjustment mechanism are intorduced to maintain the temporal continuity of video and thus improve the results of video inpainting. Experiments demonstrate that the proposed algorithm can be effectively applied to different types of video.