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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: Faculty of Computer Science and Information Technology 2003
Subjects:
QA76 Computer software
Online Access:http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf
http://ir.unimas.my/id/eprint/1726/
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spelling my.unimas.ir.17262023-11-10T02:40:05Z http://ir.unimas.my/id/eprint/1726/ Shape feature representation in similarity measurement for content-based image retrieval 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf Chiew, Kang Leng (2003) Shape feature representation in similarity measurement for content-based image retrieval. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
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
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
publisher Faculty of Computer Science and Information Technology
publishDate 2003
url http://ir.unimas.my/id/eprint/1726/3/Chiew%20Kang%20Leng.pdf
http://ir.unimas.my/id/eprint/1726/
_version_ 1783883440360259584
score 13.18916

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