- title = "Image Retrieval with Relevance Feedback based on Genetic Programming",
- author = "Cristiano D. Ferreira and Ricardo {da Silva Torres} and Marcos Andre Goncalves and Weiguo Fan",
- year = "2008",
- booktitle = "{XXIII} Simp{\'o}sio Brasileiro de Banco de Dados",
- publisher = "SBC",
- editor = "Sandra {de Amo}",
- pages = "120--134",
- address = "Campinas, {S}{\~a}o Paulo, Brasil",
- month = "13-15 " # oct,
- keywords = "genetic algorithms, genetic programming, CIBR, relevance feedback",
- isbn13 = "978-85-7669-205-8",
- bibdate = "2009-03-02",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/sbbd/sbbd2008.html#FerreiraTGF08",
-
URL = "
http://www.lbd.dcc.ufmg.br:8080/colecoes/sbbd/2008/009.pdf",
- size = "15 pages",
- abstract = "This paper presents a new content-based image retrieval framework with relevance feedback. This framework employs Genetic Programming to discover a combination of descriptors that better characterizes the user perception of image similarity. Several experiments were conducted to validate the proposed framework. These experiments employed three different image databases and colour, shape, and texture descriptors to represent the content of database images. The proposed framework was compared with three other relevance feedback methods regarding their efficiency and effectiveness in image retrieval tasks. Experiment results demonstrate the superiority of the proposed method.",
-
notes = "Image collections: FISH, MPEG7, COREL page 133
'genetic programming to learn the user
preferences'
SBBD 2008. CBIR, COREL",
