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@InProceedings{BelémCousJśniGuim:2017:ImCoSa,
               author = "Bel{\'e}m, Felipe de Castro and Cousty, Jean and J{\'u}nior, 
                         Zenilton Kleber Gon{\c{c}}alves do Patroc{\'{\i}}nio and 
                         Guimar{\~a}es, Silvio Jamil Ferzoli",
          affiliation = "{Pontifical Catholic University of Minas Gerais} and 
                         {Universit{\'e} Paris-Est} and {Pontifical Catholic University of 
                         Minas Gerais} and {Pontifical Catholic University of Minas 
                         Gerais}",
                title = "Impacts of contour saliency map transformations",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Saliency Map,Normalization,Hierarchical Segmentation.",
             abstract = "n recent years, many algorithms based on hierarchical segmentation 
                         were proposed. However, there has a need to represent their 
                         obtained results. The saliency map approach is an example of 
                         algorithm which allows the visualization of the hierarchy by 
                         defining a relevance to the contours found in the image. And, in 
                         order to visualize the segmentation result, a normalization is 
                         needed. Even though the classical approaches are satisfactory, 
                         there are two major problems: (i) the normalization does not 
                         prevent oversegmentation; (ii) it is not possible to alter the 
                         normalization to achieve better results. In this paper, we have 
                         studied a normalization by a sigmoid function, we analyzed its 
                         impacts as a filtering step, and as a final (visualization) one, 
                         and we also examined how the gradient impacts on the final result 
                         in accordance with our proposal. Experimental results show that, 
                         for both gradient functions, the pre-filtering step has better 
                         results than classical approaches.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PKDPPL",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PKDPPL",
           targetfile = "2017_SIBGRAPI_WUW.pdf",
        urlaccessdate = "2021, Jan. 21"
}


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