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@InProceedings{MouraAlca:1995:CoImQu,
               author = "Moura, Jos{\'e} Eduardo Alves de and Alcaim, Abraham",
          affiliation = "{CETUC- Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de 
                         Janeiro (PUC-Rio)} and {CETUC- Pontif{\'{\i}}cia Universidade 
                         Cat{\'o}lica do Rio de Janeiro (PUC-Rio)}",
                title = "Compress{\~a}o de imagens atrav{\'e}s de quantiza{\c{c}}{\~a}o 
                         vetorial classificada e predi{\c{c}}{\~a}o de m{\'e}dias",
            booktitle = "Anais...",
                 year = "1995",
               editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
                pages = "73--78",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 8. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "compress{\~a}o de imagens, quantiza{\c{c}}{\~a}o vetorial, 
                         predi{\c{c}}{\~a}o de m{\'e}dias.",
             abstract = "In this paper we present an image compression technique which 
                         employs classified vector quantization and mean prediction. We 
                         describe a perceptual block classification algorithm with reduced 
                         computational complexity which determines the class for each image 
                         block. The block is then encoded with a vector quantization and 
                         mean prediction. We described a perceptual block classification 
                         algorithm with reduced computational complexity which determines 
                         the class for each image block. The block is then encoded with a 
                         vector quantizer designed specifically for that class. Mean 
                         prediction is used to improve the performance of smooth areas of 
                         the image at low bit rates. In this case a residual vector 
                         quantizer is employed. Run-length coding are used to reduce the 
                         bit rate required to encode the side information.",
  conference-location = "S{\~a}o Carlos",
      conference-year = "25 - 27 out. 1995",
                 isbn = "978-85-7669-273-7",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3DJ56M2",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3DJ56M2",
           targetfile = "9 Compressao de imagens.pdf",
                 type = "Compress{\~a}o de Imagens",
        urlaccessdate = "2020, Nov. 25"
}


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