@InProceedings{CavalinFiguBaysPinh:2016:OrImSo,
               author = "Cavalin, Paulo and Figueiredo, Flavio and Bayser, Maira de and 
                         Pinhanez, Claudio",
          affiliation = "{IBM Research} and {IBM Research} and {IBM Research} and {IBM 
                         Research}",
                title = "Organizing Images from Social Media to Monitor Real-World Events",
            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 = "Social Media, Image Summarization, Image Similarity.",
             abstract = "Everyday, millions of images are posted in social media websites 
                         online. Given that in social media websites there are no 
                         guarantees of image precedence and quality, making sense of social 
                         media imagery presents itself as a challenging task. In this 
                         paper, we describe the architecture of a system developed to 
                         facilitate the analysis of social media imagery. Our system 
                         combines both low-level and high-level image analytics to organize 
                         the images into a reduced and semantically-linked set that can be 
                         explored by end-users. We evaluate our system on a large dataset 
                         of images posted during major social media events such as the 2014 
                         World Cup Finals.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MC5A58",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MC5A58",
           targetfile = "SibgrapiWIA2016_cameraready.pdf",
        urlaccessdate = "2024, Apr. 29"
}