@InProceedings{PessoaSchwSant:2015:ExCoFe,
               author = "Pessoa, Ramon Figueiredo and Schwartz, William Robson and Santos, 
                         Jefersson Alex dos",
          affiliation = "{Universidade Federal de Minas Gerais (UFMG)} and {Universidade 
                         Federal de Minas Gerais (UFMG)} and {Universidade Federal de Minas 
                         Gerais (UFMG)}",
                title = "An experimental comparison of feature extraction and distance 
                         metrics for image retrieval",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Rios, Ricardo Araujo and Paiva, Afonso",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "CBIR experimental comparison, statistical analysis, feature 
                         extraction algorithms, distance metrics.",
             abstract = "This paper seeks to do a comparative study of different features 
                         and distance metrics in order to analyze the impact of these 
                         factors in the process of Content-Based Image Retrieval (CBIR). 
                         One of the main contributions of this work was statistically 
                         analyze the impact of distance metrics in the process of image 
                         retrieval by content. We also observed statistically the impact of 
                         the variability among different classes and also the variability 
                         between images of the same image class. The results showed, for a 
                         sample collected, that the variation attributed to the class is 
                         approximately 99.85%. This confirms the fact that each algorithm 
                         will work best in a given situation. The comparative study showed 
                         the algorithms which had better accuracy rate to recover different 
                         image classes (in the dataset analysed) and also presented the 
                         reasons that possibly made these algorithms had better accuracy 
                         rate.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JRJTFE",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRJTFE",
           targetfile = "20151208_ramon-pessoa_SIBGRAPI_WiP_2015_final.pdf",
        urlaccessdate = "2024, May 06"
}