DocumentCode :
2743981
Title :
Optimal buffer-constrained bit allocation using marginal analysis
Author :
Sun, Fangting ; Yu, Wei
Author_Institution :
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
fYear :
2004
fDate :
23-25 March 2004
Firstpage :
565
Abstract :
In this paper we study the bit allocation problem under multiple rate constraints. This problem has been arisen in many practical situations, such as optimal image and video quantization, buffer-constrained multimedia transmission, joint source channel coding and unequal error protection. To solve the bit allocation problem under both total rate budget and maximum buffer size constraints, Lagrangian-based iterative technique can be used. The bit allocation problem are reexamined in this paper under multiple rate constraints, and propose an efficient algorithm based on marginal analysis to solve the rate-distortion optimization problem under both rate and buffer constraints. The paper has used optimal quantization and joint source channel coding based rate allocation.
Keywords :
Lagrangian field theory; combined source-channel coding; iterative methods; optimisation; quantisation (signal); rate distortion theory; Lagrangian-based iterative technique; buffer size; joint source channel coding; marginal analysis; multiple rate constraints; optimal buffer-constrained bit allocation; optimal quantization; rate-distortion optimization problem; Bit rate; Buffer overflow; Channel coding; Educational institutions; Image coding; Iterative algorithms; Lagrangian functions; Quantization; Sun; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2004. Proceedings. DCC 2004
ISSN :
1068-0314
Print_ISBN :
0-7695-2082-0
Type :
conf
DOI :
10.1109/DCC.2004.1281541
Filename :
1281541
Link To Document :
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