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    Efficient bit allocation for multiview image coding & view synthesis

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    Authors
    Cheung, Gene
    Velisavljević, Vladan
    Issue Date
    2010
    Subjects
    image coding
    image texture
    rendering (computer graphics)
    
    Metadata
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    Abstract
    In this paper, the authors address the problem of efficient bit allocation among texture and depth maps of multi-view images. We pose the following question: for chosen (1) coding tool to encode texture and depth maps at the encoder and (2) view synthesis tool to reconstruct uncoded views at the decoder, how to best select captured views for encoding and distribute available bits among texture and depth maps of selected coded views, such that visual distortion of a “metric” of reconstructed views is minimized. We show that using the monotonicity assumption, suboptimal solutions can be efficiently pruned from the feasible space during parameter search. Our experiments show that optimal selection of coded views and associated quantization levels for texture and depth maps can outperform a heuristic scheme using constant levels for all maps (commonly used in the standard implementations) by up to 2.0dB. Moreover, the complexity of our scheme can be reduced by up to 66% over full search without loss of optimality.
    Citation
    Cheung, G. and Velisavljevic, V. (2010) 'Efficient bit allocation for multiview image coding & view synthesis', 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 September. Hong Kong: IEEE, pp.2613-2616.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292599
    DOI
    10.1109/ICIP.2010.5651655
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5651655
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781424479931
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIP.2010.5651655
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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