Shape feature representation in similarity measurement for content-based image retrieval

The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of t...

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Bibliographic Details
Main Author:	Chiew, Kang Leng
Format:	Thesis
Language:	English
Published:	2003
Subjects:	QA76 Computer software
Online Access:	http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf
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id	my-unimas-ir.1726
record_format	uketd_dc
spelling	my-unimas-ir.17262023-11-10T02:40:05Z Shape feature representation in similarity measurement for content-based image retrieval 2003 Chiew, Kang Leng QA76 Computer software The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of the limitations associated with the conventional method. Faculty of Computer Science and Information Technology 2003 Thesis http://ir.unimas.my/id/eprint/1726/ http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Computer Science and Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Chiew, Kang Leng Shape feature representation in similarity measurement for content-based image retrieval
description	The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of the limitations associated with the conventional method.
format	Thesis
qualification_level	Master's degree
author	Chiew, Kang Leng
author_facet	Chiew, Kang Leng
author_sort	Chiew, Kang Leng
title	Shape feature representation in similarity measurement for content-based image retrieval
title_short	Shape feature representation in similarity measurement for content-based image retrieval
title_full	Shape feature representation in similarity measurement for content-based image retrieval
title_fullStr	Shape feature representation in similarity measurement for content-based image retrieval
title_full_unstemmed	Shape feature representation in similarity measurement for content-based image retrieval
title_sort	shape feature representation in similarity measurement for content-based image retrieval
granting_institution	Universiti Malaysia Sarawak (UNIMAS)
granting_department	Faculty of Computer Science and Information Technology
publishDate	2003
url	http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf
_version_	1783727904250658816

Shape feature representation in similarity measurement for content-based image retrieval

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