Automatic pixel predictor construction using an evolutionary method

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Seishi Takamura and Masaaki Matsumura and 
                 Yoshiyuki Yashima",
  title =        "Automatic pixel predictor construction using an
                 evolutionary method",
  booktitle =    "Picture Coding Symposium, 2009. PCS 2009",
  year =         "2009",
  month =        may,
  pages =        "1--4",
  keywords =     "genetic algorithms, genetic programming, automatic
                 pixel predictor construction, evolutionary method,
                 image predictor, image coding",
  DOI =          "doi:10.1109/PCS.2009.5167448",
  abstract =     "Evolutionary methods based on genetic programming (GP)
                 enable dynamic algorithm generation, and have been
                 successfully applied to many areas such as plant
                 control, robot control, and stock market prediction.
                 However, conventional image/video coding methods such
                 as JPEG and H.264 all use fixed (non-dynamic)
                 algorithms without exception. In this article, we
                 introduce a GP-based image predictor that is
                 specifically evolved for each input image. Preliminary
                 results demonstrate 1.4percent and 1.7percent entropy
                 reduction (overhead included) against the optimal
                 linear predictor and CALIC's gradient adjusted
                 predictor, respectively.",
  notes =        "Also known as \cite{5167448}",

Genetic Programming entries for Seishi Takamura Masaaki Matsumura Yoshiyuki Yashima