@InProceedings{BarcelosFNKPCPG:2019:ExHiSi,
               author = "Barcelos, Isabela Borlido and Fonseca, Gabriel Barbosa da and 
                         Najman, Laurent and Kenmochi, Yukiko and Perret, Benjamin and 
                         Cousty, Jean and Patroc{\'{\i}}nio Jr, Zenilton Kleber 
                         Gon{\c{c}}alves do and Guimar{\~a}es, Silvio Jamil Ferzoli",
          affiliation = "Audio-Visual Processing Laboratory (VIPLAB), Pontifical Catholic 
                         University of Minas Gerais, Brazil, 31980–110 and Audio-Visual 
                         Processing Laboratory (VIPLAB), Pontifical Catholic University of 
                         Minas Gerais, Brazil, 31980–110 and Universit{\'e} Paris-Est, 
                         LIGM UMR 8049, UPEMLVESIEE Paris, ENPC, CNRS, F-93162 
                         Noisy-le-Grand France and Universit{\'e} Paris-Est, LIGM UMR 
                         8049, UPEMLVESIEE Paris, ENPC, CNRS, F-93162 Noisy-le-Grand France 
                         and Universit{\'e} Paris-Est, LIGM UMR 8049, UPEMLVESIEE Paris, 
                         ENPC, CNRS, F-93162 Noisy-le-Grand France and Universit{\'e} 
                         Paris-Est, LIGM UMR 8049, UPEMLVESIEE Paris, ENPC, CNRS, F-93162 
                         Noisy-le-Grand France and Audio-Visual Processing Laboratory 
                         (VIPLAB), Pontifical Catholic University of Minas Gerais, Brazil, 
                         31980–110 and Audio-Visual Processing Laboratory (VIPLAB), 
                         Pontifical Catholic University of Minas Gerais, Brazil, 
                         31980–110",
                title = "Exploring hierarchy simplification for non-significant region 
                         removal",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage, 
                         Marcos and Sadlo, Filip",
         organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Hierarchical image segmentation, hiearachy simplification, 
                         non-significant region removal.",
             abstract = "Image segmentation is a classic subject in the field of digital 
                         image processing, and it can be used to solve a large variety of 
                         problems or serve as preprocessing for other methods of image 
                         analysis. Hierarchical image segmentation methods provide a 
                         multiscale representation, therefore they produce a nested set of 
                         image segmentations in which a result at a given level can be 
                         produced by merging regions of the segmentation at its previous 
                         level. However, a hierarchical representation may produce small 
                         components at its coarser levels, leading to oversegmentations on 
                         such scales. To solve this problem, we explore strategies to 
                         simplify hierarchies in order to remove non-significant regions, 
                         in terms of area, while trying to preserve the hierarchical 
                         structure. We evaluate the proposed simplification strategies with 
                         different hierarchical segmentation methods on the Pascal Context 
                         dataset by using precision-recall measures and fragmentation 
                         curves, along with a qualitative assessment showing that the 
                         simplification of hierarchies can lead to visually better image 
                         segmentations.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "28-31 Oct. 2019",
                  doi = "10.1109/SIBGRAPI.2019.00022",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00022",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/3U34P5E",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U34P5E",
           targetfile = "2019_conf_sibgrapi_area_filtering_camera_ready-4.pdf",
        urlaccessdate = "2024, Apr. 27"
}