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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih, T.K. Tan, N.C. Tsai, J.C. Hsing-Ying Zhong |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamkang (Shih, T.K.; Tan, N.C.; Tsai, J.C.; Hsing-Ying Zhong) |
| 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. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 659352 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424422425 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2008.4587701 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Target tracking Humans Motion pictures Image edge detection Games Skeleton Filling Computer graphics Image restoration video special effect motion interpolation video inpainting image completion graph cut mean shift |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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