详细信息
Seamless video composition using optimized mean-value cloning ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Seamless video composition using optimized mean-value cloning
作者:Xie, Zhi-Feng[1];Shen, Yang[3];Ma, Li-Zhuang[1];Chen, Zhi-Hua[2]
机构:[1]Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Digital Media Technol & Data Reconstruct Lab, Shanghai 200030, Peoples R China;[2]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[3]Shanghai Jiao Tong Univ, Dept Comp Sci & Technol, Shanghai 200030, Peoples R China
年份:2010
卷号:26
期号:6-8
起止页码:1123
外文期刊名:VISUAL COMPUTER
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000278135800071)】;
基金:We would like to thank the anonymous reviewers for their valuable comments. This work was supported by the National Basic Research Project of China (Project Number 2006CB303105), the National High Technology Research and Development Program of China (Project Number 2009AA01Z334) and the National Natural Science Foundation of China (Project Number 60873136).
语种:英文
外文关键词:Mean-value coordinates; Matting and composition; Video processing
摘要:As the process of pasting a source video patch into a target video sequence, seamless video composition is an important and useful video editing operation. Recently, a novel composition approach based on Mean-Value Coordinates has been presented. However, its composition result is often degraded by smudging and discoloration artifacts. Thus we propose optimized mean-value cloning to eliminate these artifacts by matting technique and interpolation constraint. On the basis of this optimized approach, we further present a new framework for seamless video composition. In the framework, we first develop a propagation model based on contour flow to yield each trimap that provides each frame with a pre-segmentation: definite foreground, definite background and unknown. This propagation model constructs the contour flow of inter-frame by minimizing a cost function, and employs it to relabel the trimap. Moreover, when the trimap propagation model is inefficient due to abrupt feature change and complex scene pattern, our framework has also implemented a convenient interactive tool to create and modify trimap. Then, we can use the high-quality trimap to achieve the optimized mean-value cloning. Experimental results demonstrate the effectiveness of our seamless video composition framework.
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