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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Video object inpainting using manifold-based posture estimation


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/84011


    Title: Video object inpainting using manifold-based posture estimation
    Authors: Chih-Hung Ling;Yu-Ming Liang;Chia-Wen Lin;Hong-Yuan Mark Liao;Yong-Sheng Chen
    教師: 林嘉文
    Date: 2010
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Proc. IEEE Int. Conf. Image Processing, Hong Kong, China, September 26-29, 2010
    Keywords: video inpainting
    object completion
    action prediction
    synthetic posture
    motion animation
    Abstract: 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.
    Relation Link: http:/dx.doi.org/10.1109/ICIP.2010.5648911
    http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/84011
    Appears in Collections:[電機工程學系] 會議論文
    [光電研究中心] 會議論文

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