Adaptive image retrieval using the fuzzy integral

Author

Frigui, Hichem

Author_Institution

Dept. of Electr. Eng., Memphis Univ., TN, USA

fYear

1999

fDate

36342

Firstpage

575

Lastpage

579

Abstract

The paper proposes an alternative and iterative image retrieval system which takes into account the subjectivity of human perception of visual content. The proposed system uses a dynamic similarity measure based on the Choquet integral. Both positive and negative user´s feedback are modeled by fuzzy sets, and are used to refine the feature relevance weights. The experimental results on more than 3000 texture images illustrate the learning behaviour of the retrieval system

Keywords

adaptive systems; fuzzy set theory; image retrieval; integral equations; interactive systems; knowledge based systems; user modelling; Choquet integral; adaptive image retrieval; dynamic similarity measure; feature relevance weights; fuzzy integral; fuzzy sets; human perception; iterative image retrieval system; learning behaviour; retrieval system; subjectivity; texture images; user feedback; visual content; Content based retrieval; Fuzzy sets; Humans; Image databases; Image retrieval; Labeling; Multimedia databases; Multimedia systems; Negative feedback; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781759

Filename

781759