Relevance feedback based on genetic programming for image retrieval

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  author =       "C. D. Ferreira and J. A. Santos and 
                 R. {da S. Torres} and M. A. Goncalves and R. C. Rezende and Weiguo Fan",
  title =        "Relevance feedback based on genetic programming for
                 image retrieval",
  journal =      "Pattern Recognition Letters",
  volume =       "32",
  number =       "1",
  pages =        "27--37",
  year =         "2011",
  note =         "Image Processing, Computer Vision and Pattern
                 Recognition in Latin America",
  ISSN =         "0167-8655",
  DOI =          "doi:10.1016/j.patrec.2010.05.015",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Relevance
                 feedback, Content-based image retrieval",
  abstract =     "This paper presents two content-based image retrieval
                 frameworks with relevance feedback based on genetic
                 programming. The first framework exploits only the user
                 indication of relevant images. The second one considers
                 not only the relevant but also the images indicated as

                 Several experiments were conducted to validate the
                 proposed frameworks. These experiments employed three
                 different image databases and colour, shape, and
                 texture descriptors to represent the content of
                 database images. The proposed frameworks were compared,
                 and outperformed six other relevance feedback methods
                 regarding their effectiveness and efficiency in image
                 retrieval tasks.",

Genetic Programming entries for Cristiano Dalmaschio Ferreira Jefersson Alex dos Santos Ricardo da Silva Torres Marcos Andre Goncalves R C Rezende Weiguo Fan