Content-based image indexing and retrieval using color and texture features

Content-based image indexing and retrieval is a challenging task given the broad spectrum of requirements and targeted multimedia applications, as well as involved visual features of importance in such context. Among these features, color and texture constitute powerful visual cues and are perhaps t...

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Bibliographic Details
Main Author:	Han, Ju.
Other Authors:	Ma, Kai-Kuang
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/4336
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4336
record_format	dspace
spelling	sg-ntu-dr.10356-43362023-07-04T15:59:48Z Content-based image indexing and retrieval using color and texture features Han, Ju. Ma, Kai-Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Content-based image indexing and retrieval is a challenging task given the broad spectrum of requirements and targeted multimedia applications, as well as involved visual features of importance in such context. Among these features, color and texture constitute powerful visual cues and are perhaps the most salient and commonly used low-level visual features in image re-trieval systems. In this thesis, we propose several new color and texture features to address some fundamental issues of conventional color and tex-ture features for content-based image indexing and retrieval. Master of Engineering 2008-09-17T09:49:28Z 2008-09-17T09:49:28Z 2000 2000 Thesis http://hdl.handle.net/10356/4336 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Han, Ju. Content-based image indexing and retrieval using color and texture features
description	Content-based image indexing and retrieval is a challenging task given the broad spectrum of requirements and targeted multimedia applications, as well as involved visual features of importance in such context. Among these features, color and texture constitute powerful visual cues and are perhaps the most salient and commonly used low-level visual features in image re-trieval systems. In this thesis, we propose several new color and texture features to address some fundamental issues of conventional color and tex-ture features for content-based image indexing and retrieval.
author2	Ma, Kai-Kuang
author_facet	Ma, Kai-Kuang Han, Ju.
format	Theses and Dissertations
author	Han, Ju.
author_sort	Han, Ju.
title	Content-based image indexing and retrieval using color and texture features
title_short	Content-based image indexing and retrieval using color and texture features
title_full	Content-based image indexing and retrieval using color and texture features
title_fullStr	Content-based image indexing and retrieval using color and texture features
title_full_unstemmed	Content-based image indexing and retrieval using color and texture features
title_sort	content-based image indexing and retrieval using color and texture features
publishDate	2008
url	http://hdl.handle.net/10356/4336
_version_	1772826637169065984

Content-based image indexing and retrieval using color and texture features

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