Enhancing the performance of vector quantizers for data compression and pattern matching using sorted codebooks

Technical report

Leis, John W.. 2004. Enhancing the performance of vector quantizers for data compression and pattern matching using sorted codebooks. Toowoomba, Australia. University of Southern Queensland.
Title

Enhancing the performance of vector quantizers for data compression and pattern matching using sorted codebooks

Report TypeTechnical report
Authors
AuthorLeis, John W.
Institution of OriginUniversity of Southern Queensland
Number of Pages7
Year2004
PublisherUniversity of Southern Queensland
Place of PublicationToowoomba, Australia
Web Address (URL)http://www.usq.edu.au/engineering/techrep/2004/tr-2004-01.pdf
Abstract

Vector quantization (VQ) has found application in very low-rate speech and image encoding, together
with content-based multimedia retrieval. In order to reduce the average distortion, large codebooks
are required to store sufficient representative source vectors. The fundamental drawback with large
codebooks is the search time required at the encoder. In order to reduce this search time, several
methods have been proposed in the literature. This note describes an improvement on the so-called
triangle-inequality based search. Experimental results are presented to demonstrate the usefulness of
the method, which is able to reduce search times to as little as 10-20% of the full-search equivalent
method under certain circumstances.

Keywordsvector quantization, triangular-inequality based search method, codebooks
ANZSRC Field of Research 2020461399. Theory of computation not elsewhere classified
461305. Data structures and algorithms
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsFaculty of Engineering and Surveying
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