Evaluation of parameters for combining multiple textual sources of evidence for Web image retrieval using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{journals/jbcs/SaraivaCGSMT13,
  author =       "Patricia Correia Saraiva and Joao M. B. Cavalcanti and 
                 Marcos Andre Goncalves and Katia C. Lage dos Santos and 
                 Edleno {Silva de Moura} and Ricardo {da Silva Torres}",
  title =        "Evaluation of parameters for combining multiple
                 textual sources of evidence for Web image retrieval
                 using genetic programming",
  journal =      "Journal of the Brazilian Computer Society",
  year =         "2013",
  number =       "2",
  volume =       "19",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2013-05-23",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/jbcs/jbcs19.html#SaraivaCGSMT13",
  pages =        "147--160",
  DOI =          "doi:10.1007/s13173-012-0087-1",
  abstract =     "Web image retrieval is a research area that is
                 receiving a lot of attention in the last few years due
                 to the growing availability of images on the Web. Since
                 content-based image retrieval is still considered very
                 difficult and expensive in the Web context, most
                 current large-scale Web image search engines use
                 textual descriptions to represent the content of the
                 Web images. In this paper we present a study about the
                 usage of genetic programming (GP) to address the
                 problem of image retrieval on the World Wide Web by
                 using textual sources of evidence and textual queries.
                 We investigate several parameter of choices related to
                 the usage of a framework previously proposed by us. The
                 proposed framework uses GP to provide a good solution
                 to combine multiple textual sources of evidence
                 associated with the Web images. Experiments performed
                 using a collection with more than 195,000 images
                 extracted from the Web showed that our evolutionary
                 approach outperforms the best baseline we used with
                 gains of 22.36percent in terms of mean average
                 precision.",
}

Genetic Programming entries for Patricia Correia Saraiva Joao Marcos B Cavalcanti Marcos Andre Goncalves Katia Cristina Lage dos Santos Edleno Silva de Moura Ricardo da Silva Torres

Citations