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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Rough Set Theory Approach for Classifying Multimedia Data
verfasst von : M. Nordin A. Rahman, Yuzarimi M. Lazim, Farham Mohamed, Suhailan Safei, Sufian Mat Deris, M. Kamir Yusof
Erschienen in: Software Engineering and Computer Systems
Verlag: Springer Berlin Heidelberg
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The huge size of multimedia data requires for efficient data classification and organization in providing effective multimedia data manipulation. Those valuable data must be captured and stored for potential purposes. One of the main problems in Multimedia Information System (MIS) is the management of multimedia data. As a consequence, multimedia data management has emerged as an important research area for querying, retrieving, inserting and updating of these vast multimedia data. This research considers the rough set theory technique to organize and categorize the multimedia data. Rough set theory method is useful for exploring multimedia data and simplicity to construct multimedia data classification. Classification will help to improve the performance of multimedia data retrieving and organizing process.