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@InProceedings{NevesBoreGonz:2000:TaSeBo,
               author = "Neves, Evelina Maria de Almeida and Borelli, Jo{\~a}o Eduardo and 
                         Gonzaga, Adilson",
                title = "Target search by bottom-up and top-down fuzzy information",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "60--66",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
                         20.",
             keywords = "visual perception, target search, bottom-up fuzzy information, 
                         top-down fuzzy information, feature extraction, visual field, 
                         human visual attention, fuzzy net, fuzzy subsystems, decision 
                         rules, visual perception, Gestalt laws, salience index, 
                         geometrical objects.",
             abstract = "One of the basic tasks assigned to the attentional mechanism is to 
                         decide which location in the visual field we must pay attention 
                         first. An object containing a distinctive feature can attract 
                         attention in a bottom-up way. By comparing one object with the 
                         others present in the scene, bottom-up conspicuity features are 
                         used to guide attention to the most different object. Top-down 
                         hints are based on the previous knowledge about the objects or on 
                         which features are important to locate them and also have a large 
                         influence on the attended locations. Inspired by the mechanisms of 
                         human visual attention we developed a new methodology to integrate 
                         bottom-up and top-down information by using a fuzzy net containing 
                         three fuzzy subsystems. The first bottom-up subsystem allow us to 
                         combine features and infer with great flexibility some intuitive 
                         decision rules based on the visual perception principles such as 
                         the Gestalt laws. The second top-down subsystem combines different 
                         features according to the relevance of them in different tasks. 
                         Finally, the last subsystem integrates the information of the 
                         previous systems and gives a general salience index. The new 
                         methodology was tested in geometrical objects considering the 
                         features that attract attention to human beings.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "60-66.pdf",
        urlaccessdate = "2020, Nov. 26"
}


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