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@InProceedings{JoiaGoBoBaPaNo:2011:PrImRe,
               author = "Joia, Paulo and Gomez Nieto, Erick and Botelho, Glenda and Batista 
                         Neto, Jo{\~a}o and Paiva, Afonso and Nonato, Luis Gustavo",
          affiliation = "{Instituto de Ci{\^e}ncias Matem{\'a}ticas e de 
                         Computa{\c{c}}{\~a}o  USP} and {Instituto de Ci{\^e}ncias 
                         Matem{\'a}ticas e de Computa{\c{c}}{\~a}o  USP} and {Instituto 
                         de Ci{\^e}ncias Matem{\'a}ticas e de Computa{\c{c}}{\~a}o  
                         USP} and {Instituto de Ci{\^e}ncias Matem{\'a}ticas e de 
                         Computa{\c{c}}{\~a}o  USP} and {Instituto de Ci{\^e}ncias 
                         Matem{\'a}ticas e de Computa{\c{c}}{\~a}o  USP} and {Instituto 
                         de Ci{\^e}ncias Matem{\'a}ticas e de Computa{\c{c}}{\~a}o  
                         USP}",
                title = "Projection-based Image Retrieval using Class-Specific Metrics",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Multidimensional projection, Content-Based Image Retrieval.",
             abstract = "Content-based image classification/retrieval based on image 
                         descriptors has become an essential component in most database 
                         systems. However, most existing systems do not provide mechanisms 
                         that enable interactive multi-objective queries, hampering the 
                         user experience. In this paper we present a novel methodology 
                         capable of accomplishing multi-objective searches while still 
                         being interactive. Our approach relies on a combination of 
                         class-specific metrics and multidimensional projection to devise 
                         an effective and interactive image retrieval system. Besides 
                         allowing visual exploration of image data sets, the provided 
                         results and comparisons show that the proposed approach 
                         outperforms existing methods, turning out to be a very attractive 
                         alternative for managing image data sets.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "86797_final.pdf",
        urlaccessdate = "2019, Dec. 09"
}


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