DocumentCode
3027815
Title
Adaptive joint rate allocation and quantization in subband signal coding
Author
Lu, Ligang ; Pearlman, William A.
Author_Institution
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
3
fYear
1995
fDate
23-26 Oct 1995
Firstpage
412
Abstract
We propose an elegant yet efficient adaptive subband coding scheme in which the rate allocation and structures of the quantizers are jointly optimized based on the time-varying rate-distortion characteristics of the input signals. By employing the tree-structured vector quantizers and the generalized BFOS pruning algorithm, the operations of the rate allocation and quantization are elegantly combined, whereby the adaptation is both convenient and optimal. The results on video coding have shown that the adaptive scheme can achieve substantial performance improvement over the non-adaptive scheme
Keywords
adaptive signal processing; rate distortion theory; trees (mathematics); vector quantisation; video coding; adaptive joint rate allocation; adaptive quantization; generalized BFOS pruning algorithm; input signals; optimal adaptation; performance; subband signal coding; time varying rate distortion characteristics; tree-structured vector quantizers; video coding; Algorithm design and analysis; Contracts; Economic indicators; Government; Quantization; Rate-distortion; Signal resolution; Systems engineering and theory; Time varying systems; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.537659
Filename
537659
Link To Document