DocumentCode
2945012
Title
On Natural Type Selection in Universal Multiple Description Coding
Author
Fan, Yuhua ; Wang, Jia ; Sun, Jun
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
29-31 March 2011
Firstpage
273
Lastpage
282
Abstract
In this paper, we generalize the concept of natural type selection, initially proposed by R.Zamir et.al., to multiple description coding. We prove results that are parallel to those of adaptive single description coding. A universal multiple description coding scheme is then proposed. The scheme codes a source vector at a time, and updates its codebooks based on the joint type of the codewords reconstructed previously. Based on our theoretical results, it can be shown that the rate-distortion performance of the proposed scheme gradually improves as coding proceeds.
Keywords
adaptive codes; rate distortion theory; source coding; adaptive single description coding; codewords reconstruction; natural type selection; rate-distortion performance; source coding; source vector; universal multiple description coding; Binary sequences; Channel coding; Context; Decoding; Random variables; Rate-distortion;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2011
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-61284-279-0
Type
conf
DOI
10.1109/DCC.2011.34
Filename
5749485
Link To Document