Nowadays, due to the spread of digital imaging technologies, the design of effective content based image retrieval (CBIR) systems is perceived by the research community as a primary problem. Various techniques such as clustering and relevance feedback were proposed to obtain a certain level of knowledge about a given image database. Often clustering techniques were used to obtain a first level characterization of the image database used to speed up the successive stage of queries. In this work the authors use the knowledge obtained using a fuzzy clustering algorithm to reinforce the user feedback. The system was tested on the Columbia Coil-20 image database and the obtained results seem to be encouraging.

A fuzzy logic based approach to feedback reinforcement in image retrieval / V. Di Lecce, A. Amato - In: Emerging intelligent computing technology and applications : 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009 : proceedings / [a cura di] D.S. Huang, K.H. Jo, H.H. Lee, H.J. Kang, V. Bevilacqua. - Berlin : Springer, 2009 May 05. - ISBN 9783642040696. - pp. 939-949 (( Intervento presentato al 5. convegno International Conference on Intelligent Computing (ICIC) tenutosi a Ulsan, South Korea nel 2009 [10.1007/978-3-642-04070-2_99].

A fuzzy logic based approach to feedback reinforcement in image retrieval

A. Amato
Ultimo
2009-05-05

Abstract

Nowadays, due to the spread of digital imaging technologies, the design of effective content based image retrieval (CBIR) systems is perceived by the research community as a primary problem. Various techniques such as clustering and relevance feedback were proposed to obtain a certain level of knowledge about a given image database. Often clustering techniques were used to obtain a first level characterization of the image database used to speed up the successive stage of queries. In this work the authors use the knowledge obtained using a fuzzy clustering algorithm to reinforce the user feedback. The system was tested on the Columbia Coil-20 image database and the obtained results seem to be encouraging.
Fuzzy clustering; Intelligent image retrieval system; Knowledge management; Relevance feedback
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Book Part (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/214252
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 1
social impact