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
Link To Document :
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