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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  A Hybrid Model-based Image Coding System for Very Low Bit Rate Coding


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12393


    Title: A Hybrid Model-based Image Coding System for Very Low Bit Rate Coding
    Authors: Yun-Chin Li
    Yung-Chang Chen
    教師: 陳永昌
    Date: 1998
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Volume: 16 Issue: 1 Pages: 28-41 Published: JAN 1998
    Keywords: Facial action units
    prototype coding
    two-stage motion estimation
    Abstract: This paper proposes a two-stage global motion estimation method and a hybrid coding algorithm for the model-based coding. In the first stage, global motion is estimated by the feature-based algorithm. The estimated result is further refined by the gradient method. The two-stage estimation algorithm is performed hierarchically to remove the influence of the local facial expression. In the estimation process, we also utilize the steerable pyramid to improve accuracy. The facial expression region is coded by the clip-and-paste method, and is predicted by a classified prototype coding technique. The prototype coding technique can greatly improve the coding efficiency for the facial expression. The areas, which are difficult to be described by generic models, are encoded by the proposed hierarchical motion segmentation algorithm. We segment the image to different moving areas which can be modeled by affine models in a split-and-merge manner. The segmented results with the estimated affine models can give good prediction for the unmodeled regions. Computer simulation results show that the proposed complete model-based coding scheme gives very good performance in terms of peak signal-to-noise ratio and compression ratio
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12393
    Appears in Collections:[電機工程學系] 期刊論文
    [電腦與通訊科技研發中心] 期刊論文
    [腦科學研究中心] 期刊論文

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