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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| Format: | Dissertation |
| Langue: | anglais anglais |
| Publié: |
2010
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| Accès en ligne: | 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 https://etd.uum.edu.my/2205/ http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657 |
| Abstract | Abstract here |
| Résumé: | 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. |
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