Open AccessNovel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks
Author(s) -
Fu Xiao,
Jinkai Liu,
Jian Guo,
Linfeng Liu
Publication year - 2012
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2012/582403
Subject(s) - computer science , computer vision , motion compensation , motion estimation , coding (social sciences) , artificial intelligence , decoding methods , quarter pixel motion , motion interpolation , entropy (arrow of time) , algorithm , block matching algorithm , video tracking , video processing , mathematics , statistics , physics , quantum mechanics
The traditional multiview distributed video coding scheme using regional unified coding may lead to distortion problem of decoding estimation of the intense motion region. This paper presents a novel multiview distributed video coding algorithm. In the main perspective, gaining the intense motion regions of Wyner-Ziv frame according to the criteria of ROI, the algorithm extracts their DCT low-frequency coefficients for the entropy coding, in order to generate the best temporal side information. For the nonintense motion regions, the algorithm utilizes motion compensation interpolation (MCI) to generate side information. Finally, side information based on fusion of temporal and spatial side information will be gained. Experimental results show that our proposed algorithm can gain more accurate motion estimation in the intense motion region. Quality of decoded image is improved with the same transmit rate; thus, energy consumption of sensor nodes will be decreased ultimately. © 2012 Fu Xiao et al.
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