Developing a content-based image retrieval system based on low-level discriptors

This report describes the concepts and process behind the implementation of Content-based Image Retrieval System based on low-level descriptors. The function of the Content-based Image Retrieval system based on low-level descriptors is to retrieve from an image database those images that best resem...

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Main Author: Han, Bin
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4333
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-43332023-07-04T15:15:36Z Developing a content-based image retrieval system based on low-level discriptors Han, Bin Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This report describes the concepts and process behind the implementation of Content-based Image Retrieval System based on low-level descriptors. The function of the Content-based Image Retrieval system based on low-level descriptors is to retrieve from an image database those images that best resemble a query image selected by the user. Master of Science (Signal Processing) 2008-09-17T09:49:26Z 2008-09-17T09:49:26Z 2003 2003 Thesis http://hdl.handle.net/10356/4333 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, Bin
Developing a content-based image retrieval system based on low-level discriptors
description This report describes the concepts and process behind the implementation of Content-based Image Retrieval System based on low-level descriptors. The function of the Content-based Image Retrieval system based on low-level descriptors is to retrieve from an image database those images that best resemble a query image selected by the user.
author2 Chan, Kap Luk
author_facet Chan, Kap Luk
Han, Bin
format Theses and Dissertations
author Han, Bin
author_sort Han, Bin
title Developing a content-based image retrieval system based on low-level discriptors
title_short Developing a content-based image retrieval system based on low-level discriptors
title_full Developing a content-based image retrieval system based on low-level discriptors
title_fullStr Developing a content-based image retrieval system based on low-level discriptors
title_full_unstemmed Developing a content-based image retrieval system based on low-level discriptors
title_sort developing a content-based image retrieval system based on low-level discriptors
publishDate 2008
url http://hdl.handle.net/10356/4333
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