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    NTHUR > College of Electrical Engineering and Computer Science > Department of Electrical Engineering > EE Conference Papers >  Video object inpainting using manifold-based posture estimation

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    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
    Teacher: 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:/
    Appears in Collections:[Department of Electrical Engineering] EE Conference Papers
    [Center for Photonles Research ] CPR Conference Papers

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