About this Journal Submit a Manuscript Table of Contents
International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 582403, 7 pages
http://dx.doi.org/10.1155/2012/582403
Research Article

Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks

Fu Xiao,1,2,3 Jinkai Liu,1 Jian Guo,1,3,4 and Linfeng Liu1,3,4

1School of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China
3Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
4Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing 210003, China

Received 24 August 2012; Accepted 15 October 2012

Academic Editor: Ruchuan Wang

Copyright © 2012 Fu Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.