Video Retrieval using Content Based Approach

• 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/2205/1/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

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.