Fusion of Local and Global Descriptors for Content-Based Image and Video Retrieval

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Felipe S. P. Andrade and Jurandy Almeida and 
                 Helio Pedrini and Ricardo {da S. Torres}",
  title =        "Fusion of Local and Global Descriptors for
                 Content-Based Image and Video Retrieval",
  booktitle =    "17th Iberoamerican Congress on Pattern Recognition",
  year =         "2012",
  pages =        "845--853",
  address =      "Buenos Aires, Argentina",
  keywords =     "genetic algorithms, genetic programming",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  URL =          "http://dx.doi.org/10.1007/978-3-642-33275-3_104",
  DOI =          "doi:10.1007/978-3-642-33275-3_104",
  abstract =     "Recently, fusion of descriptors has become a trend for
                 improving the performance in image and video retrieval
                 tasks. Descriptors can be global or local, depending on
                 how they analyse visual content. Most of existing works
                 have focused on the fusion of a single type of
                 descriptor. Different from all of them, this paper aims
                 to analyze the impact of combining global and local
                 descriptors. Here, we perform a comparative study of
                 different types of descriptors and all of their
                 possible combinations. Extensive experiments of a
                 rigorous experimental design show that global and local
                 descriptors complement each other, such that, when
                 combined, they outperform other combinations or single

Genetic Programming entries for Felipe S P Andrade Jurandy G Almeida Jr Helio Pedrini Ricardo da Silva Torres