@InProceedings{SpinaFalc:2016:InSeOb,
               author = "Spina, Thiago Vallin and Falc{\~a}o, Alexandre Xavier",
          affiliation = "{Institute of Computing - University of Campinas} and {Institute 
                         of Computing - University of Campinas}",
                title = "Interactive Segmentation of Objects in Images and Videos using 
                         Graphs and Fuzzy Models of Content Knowledge",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Interactive image and video segmentation, graph-based image 
                         processing, fuzzy object models, object tracking, pose 
                         estimation.",
             abstract = "Interactive segmentation is often necessary for image and video 
                         editing applications, which demand for effective and efficient 
                         methods capable of aiding the user to accurately extract objects 
                         of interest from the background with minimum involvement. The main 
                         goal is to place those objects on to new target images and videos, 
                         thereby avoiding the need to use green screens to acquire the 
                         footage. In this PhD research, we have devised methods that may be 
                         used by amateurs and professionals alike for interactive image and 
                         video segmentation, aiming to minimize the users effort and time 
                         required to obtain an accurate result. In particular, we have 
                         developed two methods for interactive image segmentation, and one 
                         for interactive video segmentation that outperforms/competes with 
                         a state-of- the-art commercial software. Our methods have also 
                         aided in interdisciplinary research with Geology, 
                         Psychology/Psychiatry (body pose estimation for early Autism 
                         assessment), and 3D medical imaging.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M8CGEE",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M8CGEE",
           targetfile = "tvspina-phd-thesis-WTD.pdf",
        urlaccessdate = "2024, Apr. 28"
}