DocumentCode
1749568
Title
A Lagrangian formulation of high rate quantization
Author
Shih, Joyce ; Aiyer, Anuradha K. ; Gray, Robert M.
Author_Institution
Dept. of Electr. Eng., Inf. Syst. Lab., Stanford, CA, USA
Volume
4
fYear
2001
fDate
2001
Firstpage
2629
Abstract
The asymptotic optimal performance of variable-rate vector quantizers of fixed dimension and large rate was first developed in a rigorous fashion by Paul Zador (1966). Subsequent design algorithms for such compression codes used a Lagrangian formulation in order to generalize Lloyd´s classic quantizer optimization algorithm to variable rate codes. This formulation has been subsequently adopted in a variety of practical systems including rate-optimized streaming video. We describe a Lagrangian formulation of Zador´s variable-rate quantization results and apply it to estimate Zador´s constant using the generalized Lloyd algorithm
Keywords
optimisation; vector quantisation; video coding; Lagrangian formulation; VQ; Zador´s constant; compression codes; design algorithms; entropy; generalized Lloyd´s quantizer optimization algorithm; high rate quantization; rate-optimized streaming video; variable rate codes; variable-rate vector quantizers; Algorithm design and analysis; Decoding; Delay; Design optimization; Distortion measurement; Entropy; Information systems; Laboratories; Lagrangian functions; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940541
Filename
940541
Link To Document