DocumentCode :
2401279
Title :
Video falsifying by motion interpolation and inpainting
Author :
Shih, Timothy K. ; Tan, Nick C. ; Tsai, Joseph C. ; Zhong, Hsing-Ying
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamkang
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
We change the behavior of actors in a video. For instance, the outcome of a 100-meter race in the Olympic game can be falsified. We track objects and segment motions using a modified mean shift mechanism. The resulting video layers can be played in different speeds and at different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on continuous stick figures (i.e., a video of human skeleton) and video inpainting. The video inpainting mechanism is performed in a quasi-3D space via guided 3D patch matching for filling. Interpolated target objects and background layers are fused by using graph cut. It is hard to tell whether a falsified video is the original. We demonstrate the original and the falsified videos in our website at http://www.mine.tku.edu.tw/video_demo/). The proposed technique can be used to create special effects in movie industry.
Keywords :
graph theory; image fusion; image matching; image motion analysis; image segmentation; interpolation; object detection; target tracking; video signal processing; graph cut; guided 3D patch matching; modified mean shift mechanism; motion interpolation; motion segmentation; movie industry; object target tracking; quasi 3D space; video falsifying; video inpainting; Computer graphics; Filling; Games; Humans; Image edge detection; Image restoration; Interpolation; Motion pictures; Skeleton; Target tracking; graph cut; image completion; mean shift; motion interpolation; video inpainting; video special effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587701
Filename :
4587701
Link To Document :
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