Content-based image indexing and retrieval : feature extraction and feature similarity metrics

Content-based image indexing and retrieval : feature extraction and feature similarity metrics

Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. Thi...

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Main Author: Wang, Chang Liang
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/3249
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3249
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spelling sg-ntu-dr.10356-32492023-07-04T15:10:20Z Content-based image indexing and retrieval : feature extraction and feature similarity metrics Wang, Chang Liang Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. This the-sis focuses on two areas: feature extraction and feature similarity metrics. Feature extraction is based on multiresolution analysis of images. Feature similarity is based on several new similarity metrics developed or adopted in this work, namely the two-level similarity metric, Nearest Feature Line distance and its extension. Master of Engineering 2008-09-17T09:25:32Z 2008-09-17T09:25:32Z 2000 2000 Thesis http://hdl.handle.net/10356/3249 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
Wang, Chang Liang
Content-based image indexing and retrieval : feature extraction and feature similarity metrics
description Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. This the-sis focuses on two areas: feature extraction and feature similarity metrics. Feature extraction is based on multiresolution analysis of images. Feature similarity is based on several new similarity metrics developed or adopted in this work, namely the two-level similarity metric, Nearest Feature Line distance and its extension.
author2 Chan, Kap Luk
author_facet Chan, Kap Luk
Wang, Chang Liang
format Theses and Dissertations
author Wang, Chang Liang
author_sort Wang, Chang Liang
title Content-based image indexing and retrieval : feature extraction and feature similarity metrics
title_short Content-based image indexing and retrieval : feature extraction and feature similarity metrics
title_full Content-based image indexing and retrieval : feature extraction and feature similarity metrics
title_fullStr Content-based image indexing and retrieval : feature extraction and feature similarity metrics
title_full_unstemmed Content-based image indexing and retrieval : feature extraction and feature similarity metrics
title_sort content-based image indexing and retrieval : feature extraction and feature similarity metrics
publishDate 2008
url http://hdl.handle.net/10356/3249
_version_ 1772826143746949120

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