DocumentCode
2234803
Title
Multimedia data mining for building rule-based image retrieval systems
Author
Wang, Dianhui ; Ma, Xiaohang
Author_Institution
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, Vic., Australia
fYear
2005
fDate
6-8 July 2005
Abstract
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.
Keywords
data mining; fuzzy logic; image retrieval; inference mechanisms; multimedia computing; uncertainty handling; visual databases; FIS; RBIR system; artificial image database; fuzzy inference system; multimedia data mining technique; rule-based image retrieval; semantic query; soft computing; Computer science; Data mining; Feature extraction; Fuzzy systems; Image databases; Image retrieval; Information retrieval; Multimedia computing; Multimedia systems; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Print_ISBN
0-7803-9331-7
Type
conf
DOI
10.1109/ICME.2005.1521394
Filename
1521394
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