DocumentCode
1564864
Title
Removing Redundancy in Multi-Resolution Scalable Video Coding Schemes
Author
Boisson, G. ; Francois, E.
Author_Institution
Thomson R&D France, Cesson-Sevigne, France
fYear
2006
Firstpage
189
Lastpage
192
Abstract
Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. However solutions have been proposed to preserve the critical sampling criterion within a multi-resolution framework. That research area is highly worth the interest since the redundancy suppression potentially improves compression efficiency. We focus here on two different solutions, with a special focus on the spectral composition of the transmitted information. Last some results are presented and discussed.
Keywords
Gaussian processes; image resolution; image sampling; spectral analysis; video coding; Gaussian pyramidal approach; critical sampling criterion; multiresolution scalable video coding scheme; redundancy suppression; spectral composition; temporal analysis; Filtering; Iterative methods; Research and development; Sampling methods; Scalability; Spatial resolution; Tin; Video coding; Video compression; Wavelet transforms; Video coding; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.312452
Filename
4106498
Link To Document