Image Retrieval with Relevance Feedback based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  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",
  bibdate =      "2009-03-02",
  bibsource =    "DBLP,
  booktitle =    "{XXIII} Simp{\'o}sio Brasileiro de Banco de Dados",
  publisher =    "SBC",
  year =         "2008",
  editor =       "Sandra {de Amo}",
  isbn13 =       "978-85-7669-205-8",
  pages =        "120--134",
  URL =          "",
  address =      "Campinas, {S}{\~a}o Paulo, Brasil",
  month =        "13-15 " # oct,
  keywords =     "genetic algorithms, genetic programming",
  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 =        "SBBD 2008. CBIR, COREL",

Genetic Programming entries for Cristiano Dalmaschio Ferreira Ricardo da Silva Torres Marcos Andre Goncalves Weiguo Fan