Pathfollowing approach to globally optimal vector quantizer design

Fu Lai Korris Chung; Tong Lee; Wilson Chan

Pathfollowing approach to globally optimal vector quantizer design

Fu Lai Korris Chung, Tong Lee, Wilson Chan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Continuation method, also known as pathfollowing method, is applied to the problem of globally optimal vector quantization, and a novel algorithm is proposed. The superiority of the proposed algorithm in codebook quality, computational efficiency, and algorithmic simplicity is demonstrated through experiments in image coding.

Original language	English
Title of host publication	IEEE International Conference on Neural Networks - Conference Proceedings
Publisher	IEEE
Pages	4597-4600
Number of pages	4
Publication status	Published - 1 Dec 1994
Externally published	Yes
Event	Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, United States Duration: 27 Jun 1994 → 29 Jun 1994

Conference

Conference	Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)
Country/Territory	United States
City	Orlando, FL
Period	27/06/94 → 29/06/94

ASJC Scopus subject areas

Software

Cite this

@inproceedings{dfd6ee5736694f6786440a038dcd8597,

title = "Pathfollowing approach to globally optimal vector quantizer design",

abstract = "Continuation method, also known as pathfollowing method, is applied to the problem of globally optimal vector quantization, and a novel algorithm is proposed. The superiority of the proposed algorithm in codebook quality, computational efficiency, and algorithmic simplicity is demonstrated through experiments in image coding.",

author = "Chung, {Fu Lai Korris} and Tong Lee and Wilson Chan",

year = "1994",

month = dec,

day = "1",

language = "English",

pages = "4597--4600",

booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",

publisher = "IEEE",

address = "United States",

note = "Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) ; Conference date: 27-06-1994 Through 29-06-1994",

}

TY - GEN

T1 - Pathfollowing approach to globally optimal vector quantizer design

AU - Chung, Fu Lai Korris

AU - Lee, Tong

AU - Chan, Wilson

PY - 1994/12/1

Y1 - 1994/12/1

N2 - Continuation method, also known as pathfollowing method, is applied to the problem of globally optimal vector quantization, and a novel algorithm is proposed. The superiority of the proposed algorithm in codebook quality, computational efficiency, and algorithmic simplicity is demonstrated through experiments in image coding.

AB - Continuation method, also known as pathfollowing method, is applied to the problem of globally optimal vector quantization, and a novel algorithm is proposed. The superiority of the proposed algorithm in codebook quality, computational efficiency, and algorithmic simplicity is demonstrated through experiments in image coding.

UR - http://www.scopus.com/inward/record.url?scp=0028714417&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SP - 4597

EP - 4600

BT - IEEE International Conference on Neural Networks - Conference Proceedings

PB - IEEE

T2 - Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)

Y2 - 27 June 1994 through 29 June 1994

ER -

Pathfollowing approach to globally optimal vector quantizer design

Abstract

Conference

ASJC Scopus subject areas

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