@inproceedings{b2abb5e9d6234155b8ce8f0f30199765,
title = "Video falsifying by motion interpolation and inpainting",
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 cut, Image completion, Mean shift, Motion interpolation, Video inpainting, Video special effect",
author = "Shih, {Timothy K.} and Tan, {Nick C.} and Tsai, {Joseph C.} and Zhong, {Hsing Ying}",
year = "2008",
doi = "10.1109/CVPR.2008.4587701",
language = "???core.languages.en_GB???",
isbn = "9781424422432",
series = "26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR",
booktitle = "26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR",
note = "26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR ; Conference date: 23-06-2008 Through 28-06-2008",
}