@InProceedings{CostaEckmScheRoch:2012:OpSeSo,
               author = "Costa, Filipe de Oliveira and Eckmann, Michael and Scheirer, 
                         Walter J. and Rocha, Anderson",
          affiliation = "{University of Campinas } and {Skidmore College } and {University 
                         of Colorado } and {University of Campinas}",
                title = "Open Set Source Camera Attribution",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno, 
                         Roberto and Silva, Luciano",
         organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Digital Forensics, Open Set Recognition, Camera Attribution, 
                         Sensor Fingerprinting.",
             abstract = "Similar to ballistic tests in which we match a gun to its bullets, 
                         we can identify a given digital camera that acquired an image 
                         under investigation. In this paper, we discuss a method for 
                         identifying whether or not an image was captured by a specific 
                         digital camera. The method relies on noise residual features 
                         related to the images under investigation. Our approach considers 
                         an {"}open set{"} recognition scenario, under which we can not 
                         rely on the assumption of full access to all of the potential 
                         source cameras. This is the only scenario investigators are faced 
                         with in the real world. In this case, we model the decision space 
                         to take advantage of a few known cameras and carve the decision 
                         boundaries to decrease false matches increasing the reliability of 
                         image source attribution as an aid for digital forensics in the 
                         court of law. This approach performs favorably vs. the 
                         state-of-the-art.",
  conference-location = "Ouro Preto, MG, Brazil",
      conference-year = "22-25 Aug. 2012",
                  doi = "10.1109/SIBGRAPI.2012.19",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.19",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3C9E4D5",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9E4D5",
           targetfile = "sibgrapi-2012-filipe-costa-final.pdf",
        urlaccessdate = "2024, May 02"
}