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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2010
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Online Access: | 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 http://etd.uum.edu.my/2205/ http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657 |
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my.uum.etd.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 |
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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/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf http://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf http://etd.uum.edu.my/2205/ http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657 |
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13.18916 |