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 :
بازگشت