Image Coding Using Nonlinear Evolutionary Transforms

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Takamura:2013:DCC,
  author =       "Seishi Takamura and Atsushi Shimizu",
  title =        "Image Coding Using Nonlinear Evolutionary Transforms",
  booktitle =    "Data Compression Conference (DCC 2013)",
  year =         "2013",
  month =        "20-22 " # mar,
  pages =        "521--521",
  keywords =     "genetic algorithms, genetic programming, transform
                 coding, nonlinear transform",
  DOI =          "doi:10.1109/DCC.2013.100",
  ISSN =         "1068-0314",
  abstract =     "Transform is one of the most important tools for
                 image/video coding technology. In this paper, novel
                 nonlinear transform generation based on genetic
                 programming is proposed and implemented into H.264/AVC
                 and HEVC reference software to enhance coding
                 performance. The transform procedure itself is coded
                 and transmitted. Despite this overhead, 0.590percent
                 (vs. JM18.0) and 1.711percent (vs. HM5.0) coding gain
                 was observed in our preliminary experiment.",
  notes =        "Also known as \cite{6543131}",
}

Genetic Programming entries for Seishi Takamura Atsushi Shimizu

Citations