Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31297
Title: Iterative search strategy with selective bi-directional prediction for low complexity multiview video coding
Authors: Deng, ZP
Chan, YL 
Jia, KB
Fu, CH
Siu, WC 
Keywords: 3DTV
Adaptive search range
Bi-directional prediction
Disparity estimation
Hierarchical B picture
JMVC
Motion estimation
Multiview video coding
Issue Date: 2012
Publisher: Academic Press
Source: Journal of visual communication and image representation, 2012, v. 23, no. 3, p. 522-534 How to cite?
Journal: Journal of visual communication and image representation 
Abstract: The multiview video coding (MVC) extension of H.264/AVC is the emerging standard for compression of impressive 3D and free-viewpoint video. The coding structure in MVC adopts motion and disparity estimation to exploit temporal and inter-view dependencies in MVC. It results in a considerable increase in encoding complexity. Most of the computational burden comes from uni-directional and bi-directional prediction. In this paper, an iterative search strategy is designed to speed up the uni-directional prediction in MVC. It can work with an adaptive search range adjustment through a confidence measure of a loop constraint to obtain both motion and disparity vectors jointly. Furthermore, a selective bi-directional prediction algorithm is proposed to enhance the coding performance by analyzing the statistical characteristics of bi-directional prediction in MVC. Experimental results demonstrate that, by using the proposed fast search, the temporal and inter-view redundancies of multiview video can be eliminated sufficiently with low complexity.
URI: http://hdl.handle.net/10397/31297
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2012.01.016
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