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Multimedia data mining for building rule-based image retrieval systems
Amsterdam, Netherlands July 06-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.15213942005 IEEE International Conference on ...
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D. Wang, Dept. of Comput. Sci.&Comput. Eng., La Trobe Univ., Melbourne, Vic., Australia
X. Ma, Dept. of Comput. Sci.&Comput. Eng., La Trobe Univ., Melbourne, Vic., Australia
This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize fuzzy rules that infer semantic concepts for image retrieval. Using fuzzy inference system (FIS), a novel RBIR system with semantic query is developed. Experimental results on an artificial image database are reported.
Index Terms:
artificial image database, multimedia data mining technique, rule-based image retrieval, RBIR system, soft computing, fuzzy inference system, FIS, semantic query
Citation:
D. Wang, X. Ma, "Multimedia data mining for building rule-based image retrieval systems," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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