Paper Info
Title
Improving hash-based Wyner-Ziv video coding using genetic algorithms
Abstract
This work aims at improving the quality of the side information in distributed video coding. A novel technique for the fusion of multiple side information is developed for this purpose. Based on genetic algorithms, the proposed frame fusion technique incurs no additional complexity at the encoder side, in case of hash-based distributed video coding. Simulation results show a significant improvement in the side information quality compared to other interpolation techniques available in the literature, which greatly improves the rate-distortion performance of a distributed video codec, where the gain in PSNR can reach 7 dB.
Year
DOI
Venue
2009
10.4108/ICST.MOBIMEDIA2009.7248
MobiMedia
Keywords
Field
DocType
frame interpolation,genetic algorithms,genetic algorithm
Coding tree unit,Computer science,Multiview Video Coding,Theoretical computer science,Real-time computing,Motion interpolation,Encoder,Distributed source coding,Hash function,Computer engineering,Codec,Context-adaptive binary arithmetic coding
Conference
Citations 
PageRank 
References 
5
0.43
13
Authors
3
Name
Order
Citations
PageRank
Charles Yaacoub18314.28
Joumana Farah215817.80
Béatrice Pesquet-Popescu387691.43