Characterization of image content

With the recent developments in Internet Web-based applications, the requirements in international access has evolved from one which is command-based for direct manipulation of data, and that which is text-based to one which is visual-based. Most significantly, multimedia applications which require...

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Bibliographic Details
Main Author: Zhao, Jun Qing.
Other Authors: Ang, Yew Hock
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/19726
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author Zhao, Jun Qing.
author2 Ang, Yew Hock
author_facet Ang, Yew Hock
Zhao, Jun Qing.
author_sort Zhao, Jun Qing.
collection NTU
description With the recent developments in Internet Web-based applications, the requirements in international access has evolved from one which is command-based for direct manipulation of data, and that which is text-based to one which is visual-based. Most significantly, multimedia applications which require the support of visual information access have grown exponentially in number. Coupled with the evolving paradigm in visual-oriented access and the growing prevalence of digital images and videos the need for more effective means of image retrieval based on visual content is increasing more important. Traditionally, access to visual information using text-based indexes, which are built upon human supplied annotations is ineffective. Visual information in image and video libraries requires new algorithms for automatic extraction and indexing of relevant image features.
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spelling ntu-10356/197262023-07-04T15:31:51Z Characterization of image content Zhao, Jun Qing. Ang, Yew Hock School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation With the recent developments in Internet Web-based applications, the requirements in international access has evolved from one which is command-based for direct manipulation of data, and that which is text-based to one which is visual-based. Most significantly, multimedia applications which require the support of visual information access have grown exponentially in number. Coupled with the evolving paradigm in visual-oriented access and the growing prevalence of digital images and videos the need for more effective means of image retrieval based on visual content is increasing more important. Traditionally, access to visual information using text-based indexes, which are built upon human supplied annotations is ineffective. Visual information in image and video libraries requires new algorithms for automatic extraction and indexing of relevant image features. Master of Science (Communication and Network Systems) 2009-12-14T06:25:43Z 2009-12-14T06:25:43Z 1998 1998 Thesis http://hdl.handle.net/10356/19726 en NANYANG TECHNOLOGICAL UNIVERSITY 88 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Zhao, Jun Qing.
Characterization of image content
title Characterization of image content
title_full Characterization of image content
title_fullStr Characterization of image content
title_full_unstemmed Characterization of image content
title_short Characterization of image content
title_sort characterization of image content
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
url http://hdl.handle.net/10356/19726
work_keys_str_mv AT zhaojunqing characterizationofimagecontent