Video object inpainting using manifold-based action prediction

Chih Hung Ling*, Yu Ming Liang, Chia Wen Lin, Yong-Sheng Chen, Hong Yuan Mark Liao

*此作品的通信作者

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel scheme for object completion in a video. The framework includes three steps: posture synthesis, graphical model construction, and action prediction. In the very beginning, a posture synthesis method is adopted to enrich the number of postures. Then, all postures are used to build a graphical model of object action which can provide possible motion tendency. We define two constraints to confine the motion continuity property. With the two constraints, possible candidates between every two consecutive postures are significantly reduced. Finally, we apply the Markov Random Field model to perform global matching. The proposed approach can effectively maintain the temporal continuity of the reconstructed motion. The advantage of this action prediction strategy is that it can handle the cases such as non-periodic motion or complete occlusion.

原文English
主出版物標題2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
頁面425-428
頁數4
DOIs
出版狀態Published - 1 12月 2010
事件2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
持續時間: 26 9月 201029 9月 2010

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
國家/地區Hong Kong
城市Hong Kong
期間26/09/1029/09/10

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