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1995 International Conference on Image Processing (ICIP'95) - Volume 3
Adaptive joint rate allocation and quantization in subband signal coding
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
ASCII Text
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Ligang Lu, W.A. Pearlman, "Adaptive joint rate allocation and quantization in subband signal coding," Image Processing, International Conference on, vol. 3, pp. 3412, 1995 International Conference on Image Processing (ICIP'95) - Volume 3, 1995.
 
 
BibTex
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@article{ 10.1109/ICIP.1995.537659,
author = {Ligang Lu and W.A. Pearlman},
title = {Adaptive joint rate allocation and quantization in subband signal coding},
journal ={Image Processing, International Conference on},
volume = {3},
year = {1995},
isbn = {0-8186-7310-9},
pages = {3412},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537659},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - Adaptive joint rate allocation and quantization in subband signal coding
SN - 0-8186-7310-9
SP
EP
A1 - Ligang Lu,
A1 - W.A. Pearlman,
PY - 1995
KW - video coding; rate distortion theory; adaptive signal processing; vector quantisation; trees (mathematics); adaptive joint rate allocation; adaptive quantization; subband signal coding; time varying rate distortion characteristics; input signals; tree-structured vector quantizers; generalized BFOS pruning algorithm; optimal adaptation; video coding; performance
VL - 3
JA - Image Processing, International Conference on
ER -
 
Ligang Lu, Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
W.A. Pearlman, Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
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.
Index Terms:
video coding; rate distortion theory; adaptive signal processing; vector quantisation; trees (mathematics); adaptive joint rate allocation; adaptive quantization; subband signal coding; time varying rate distortion characteristics; input signals; tree-structured vector quantizers; generalized BFOS pruning algorithm; optimal adaptation; video coding; performance
Citation:
Ligang Lu, W.A. Pearlman, "Adaptive joint rate allocation and quantization in subband signal coding," icip, vol. 3, pp.3412, 1995 International Conference on Image Processing (ICIP'95) - Volume 3, 1995
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