Video Retrieval using Content Based Approach

Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these...

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Main Author:	Al-Shaikh, Mu'ath Ziad Najib
Format:	Thesis
Language:	English English
Published:	2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://etd.uum.edu.my/2205/ http://etd.uum.edu.my/2205/ http://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf http://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf

id	oai:etd.uum.edu.my:2205
recordtype	eprints
spelling	oai:etd.uum.edu.my:22052013-07-24T12:14:53Z http://etd.uum.edu.my/2205/ Video Retrieval using Content Based Approach Al-Shaikh, Mu'ath Ziad Najib TA Engineering (General). Civil engineering (General) Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these media are unusual and have not achieved sensation as that of text retrieval systems. Video retrieval systems are helpful in many applications. There is a high request for useful and capable tool for video association and retrieval based on each user's requirement. Videos are divided into set of frames(images) then they are classified into content based image retrieval. We are developing a content based video retrieval system, which makes use of ontology to make the retrieval process intelligent. 2010-04 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf application/pdf en http://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf Al-Shaikh, Mu'ath Ziad Najib (2010) Video Retrieval using Content Based Approach. Masters thesis, Universiti Utara Malaysia. http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657
institution	Universiti Utara Malaysia Universiti Utara Malaysia
repository_type	Digital Repository
institution_category	Local University
building	UUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Al-Shaikh, Mu'ath Ziad Najib Video Retrieval using Content Based Approach
description	Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these media are unusual and have not achieved sensation as that of text retrieval systems. Video retrieval systems are helpful in many applications. There is a high request for useful and capable tool for video association and retrieval based on each user's requirement. Videos are divided into set of frames(images) then they are classified into content based image retrieval. We are developing a content based video retrieval system, which makes use of ontology to make the retrieval process intelligent.
format	Thesis
author	Al-Shaikh, Mu'ath Ziad Najib
author_facet	Al-Shaikh, Mu'ath Ziad Najib
author_sort	Al-Shaikh, Mu'ath Ziad Najib
title	Video Retrieval using Content Based Approach
title_short	Video Retrieval using Content Based Approach
title_full	Video Retrieval using Content Based Approach
title_fullStr	Video Retrieval using Content Based Approach
title_full_unstemmed	Video Retrieval using Content Based Approach
title_sort	video retrieval using content based approach
publishDate	2010
url	http://etd.uum.edu.my/2205/ http://etd.uum.edu.my/2205/ http://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf http://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf
first_indexed	2018-09-07T11:06:37Z
last_indexed	2018-09-07T11:06:37Z
_version_	1610946600546336768

Video Retrieval using Content Based Approach

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