Paper Info
Title
Side information enhancement using an adaptive hash-based genetic algorithm in a Wyner-Ziv context
Abstract
Side information construction in Wyner-Ziv video coding is a sensible task which strongly influences the final ratedistortion performance of the scheme. This side information is usually generated through an interpolation of the previous and next images. Some of the zones of a scene however, such as the occlusions, cannot be estimated with other frames. In this paper we propose to avoid this problem by sending some hash information for these unpredictable zones of the image. The resulting algorithm is described and tested here. The obtained results show the advantages of using localized hash information for the high error zones in distributed video coding.
Year
DOI
Venue
2010
10.1109/MMSP.2010.5662036
Multimedia Signal Processing
Keywords
Field
DocType
genetic algorithms,interpolation,video coding,Wyner-Ziv context,adaptive hash based genetic algorithm,distributed video coding,information enhancement,interpolation
Computer vision,Computer science,Interpolation,Side information,Coding (social sciences),Artificial intelligence,Hash function,Decoding methods,Quantization (signal processing),Genetic algorithm
Conference
ISBN
Citations 
PageRank 
978-1-4244-8111-8
6
0.47
References 
Authors
9
4
Name
Order
Citations
PageRank
Thomas Maugey127131.16
Charles Yaacoub28314.28
Farah, J.3112.06
Marco Cagnazzo429434.45