Paper Info
Title
An Iterative Refinement Technique for Side Information Generation in DVC
Abstract
Distributed video coding (DVC) is an increasingly popular approach among the researchers in video coding during past few years due to its attractive and promising features. In DVC, the majority of the computational complexity has been shifted from encoder to the decoder in comparison to its conventional counterparts, including MPEG and H.26 x enabling a dramatically low cost encoder implementation. Side information generation, carried out at the decoder, is a major function in the DVC coding algorithm and plays a key-role in determining the performance of the codec. In this paper, a novel iterative refinement technique is proposed for the side information generation process. Simulation results of the proposed technique depict a consistent improvement in performance in comparison to the state-of-the-art in pixel domain DVC.
Year
DOI
Venue
2007
10.1109/ICME.2007.4284612
Beijing
Keywords
Field
DocType
iterative methods,video coding,MPEG,computational complexity,distributed video coding,iterative refinement techniques,side information generation process,Distributed video coding,Wyner-Ziv coding,video compression
Iterative refinement,Computer science,Theoretical computer science,Coding (social sciences),Artificial intelligence,Computer engineering,Codec,Computer vision,Iterative method,Pixel,Encoder,Data compression,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
1-4244-1017-7
11
0.70
References 
Authors
6
5
Name
Order
Citations
PageRank
W. A. Rajitha Jayaruwan Weerakkody1413.69
Warnakulasuriya Anil Chandana Fernando213617.18
Jose Luis Martinez3203.60
Pedro Cuenca432945.62
Francisco J. Quiles543841.67