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:eng
eng
Published: 2010
Subjects:
Online Access:https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf
https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf
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spelling my-uum-etd.22052013-07-24T12:14:53Z Video Retrieval using Content Based Approach 2010-04 Al-Shaikh, Mu'ath Ziad Najib Mohamed Din, Aniza College of Arts and Sciences (CAS) College of Arts and Sciences 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 https://etd.uum.edu.my/2205/ https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf application/pdf eng validuser https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf application/pdf eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657 masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Mohamed Din, Aniza
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
qualification_name masters
qualification_level Master's degree
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
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2010
url https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf
https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf
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