VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION.

Yasuo Matsuyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Algorithms for vector quantization of variable region data are given. The design iteration is proved to converge. An important issue is the optimization step of the region shape with respect to the vector quantization codebook. Thus, the presented design method is a nontrivial extention of ordinary vector quantizer design which contains the classical Lloyd-Max algorithm. First, the main algorithm is given without introducing any physical entity. Therefore, the method is applicable to any data including speech and image as long as the quantization distortion is defined. In the speech coding case the region shape optimization is interpreted as the epoch interval adjustment. The selection of the adjusted epochs with respect to the vector quantization codebook considerably reduces the quantizing distortion. This enables very-low-rate speech compression. Then, the image coding case is formulated and some convergence problem are discussed.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages2201-2204
Number of pages4
Publication statusPublished - 1987
Externally publishedYes

Fingerprint

vector quantization
Vector quantization
Image compression
coding
time measurement
shape optimization
Speech coding
Shape optimization
Image coding
iteration
counters
adjusting
intervals
optimization

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Matsuyama, Y. (1987). VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 2201-2204). IEEE.

VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION. / Matsuyama, Yasuo.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, 1987. p. 2201-2204.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsuyama, Y 1987, VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, pp. 2201-2204.
Matsuyama Y. VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE. 1987. p. 2201-2204
Matsuyama, Yasuo. / VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, 1987. pp. 2201-2204
@inproceedings{907c999000414a47972f8ef52bcccf44,
title = "VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION.",
abstract = "Algorithms for vector quantization of variable region data are given. The design iteration is proved to converge. An important issue is the optimization step of the region shape with respect to the vector quantization codebook. Thus, the presented design method is a nontrivial extention of ordinary vector quantizer design which contains the classical Lloyd-Max algorithm. First, the main algorithm is given without introducing any physical entity. Therefore, the method is applicable to any data including speech and image as long as the quantization distortion is defined. In the speech coding case the region shape optimization is interpreted as the epoch interval adjustment. The selection of the adjusted epochs with respect to the vector quantization codebook considerably reduces the quantizing distortion. This enables very-low-rate speech compression. Then, the image coding case is formulated and some convergence problem are discussed.",
author = "Yasuo Matsuyama",
year = "1987",
language = "English",
pages = "2201--2204",
booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",

}

TY - GEN

T1 - VARIABLE REGION VECTOR QUANTIZATION, SPACE WARPING AND SPEECH/IMAGE COMPRESSION.

AU - Matsuyama, Yasuo

PY - 1987

Y1 - 1987

N2 - Algorithms for vector quantization of variable region data are given. The design iteration is proved to converge. An important issue is the optimization step of the region shape with respect to the vector quantization codebook. Thus, the presented design method is a nontrivial extention of ordinary vector quantizer design which contains the classical Lloyd-Max algorithm. First, the main algorithm is given without introducing any physical entity. Therefore, the method is applicable to any data including speech and image as long as the quantization distortion is defined. In the speech coding case the region shape optimization is interpreted as the epoch interval adjustment. The selection of the adjusted epochs with respect to the vector quantization codebook considerably reduces the quantizing distortion. This enables very-low-rate speech compression. Then, the image coding case is formulated and some convergence problem are discussed.

AB - Algorithms for vector quantization of variable region data are given. The design iteration is proved to converge. An important issue is the optimization step of the region shape with respect to the vector quantization codebook. Thus, the presented design method is a nontrivial extention of ordinary vector quantizer design which contains the classical Lloyd-Max algorithm. First, the main algorithm is given without introducing any physical entity. Therefore, the method is applicable to any data including speech and image as long as the quantization distortion is defined. In the speech coding case the region shape optimization is interpreted as the epoch interval adjustment. The selection of the adjusted epochs with respect to the vector quantization codebook considerably reduces the quantizing distortion. This enables very-low-rate speech compression. Then, the image coding case is formulated and some convergence problem are discussed.

UR - http://www.scopus.com/inward/record.url?scp=0023246037&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023246037&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0023246037

SP - 2201

EP - 2204

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE

ER -