Image retrieval using multidimensional features

Image retrieval using multidimensional features

In this thesis we will focus our presentation in characterizing and matching images in s high dimentional feature space of image colour, texture and shape. This thesis developed several new techniques for integrating region-based and entire-image-based feature analysis to improve the relevance of th...

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Main Author: Li, Fang.
Other Authors: Ang, Yew Hock
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/4622
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-4622
record_format dspace
spelling sg-ntu-dr.10356-46222023-07-04T15:58:48Z Image retrieval using multidimensional features Li, Fang. Ang, Yew Hock School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this thesis we will focus our presentation in characterizing and matching images in s high dimentional feature space of image colour, texture and shape. This thesis developed several new techniques for integrating region-based and entire-image-based feature analysis to improve the relevance of the retrieved images and increase the flexibility of visual access for improved query formulation. Master of Engineering 2008-09-17T09:55:28Z 2008-09-17T09:55:28Z 2002 2002 Thesis http://hdl.handle.net/10356/4622 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
Li, Fang.
Image retrieval using multidimensional features
description In this thesis we will focus our presentation in characterizing and matching images in s high dimentional feature space of image colour, texture and shape. This thesis developed several new techniques for integrating region-based and entire-image-based feature analysis to improve the relevance of the retrieved images and increase the flexibility of visual access for improved query formulation.
author2 Ang, Yew Hock
author_facet Ang, Yew Hock
Li, Fang.
format Theses and Dissertations
author Li, Fang.
author_sort Li, Fang.
title Image retrieval using multidimensional features
title_short Image retrieval using multidimensional features
title_full Image retrieval using multidimensional features
title_fullStr Image retrieval using multidimensional features
title_full_unstemmed Image retrieval using multidimensional features
title_sort image retrieval using multidimensional features
publishDate 2008
url http://hdl.handle.net/10356/4622
_version_ 1772826323902791680

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