GPGPU-assisted denoising filter generation for video coding

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Seishi Takamura and Atsushi Shimizu",
  title =        "GPGPU-assisted denoising filter generation for video
  booktitle =    "GECCO Comp '14: Proceedings of the 2014 conference
                 companion on Genetic and evolutionary computation
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "151--152",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "",
  DOI =          "doi:10.1145/2598394.2598462",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "State-of-the-art video coding technologies such as
                 H.265/HEVC employ in-loop denoising filters such as
                 deblocking filter and sample adaptive offset. This
                 paper aims to develop a new type of in-loop denoising
                 filter using an evolutionary method. To boost the
                 evolution, GPGPU is used in filtering process.
                 Generated filter is heavily nonlinear and
                 content-specific. Simulation results demonstrate that
                 proposed method generates better denoising filter in
                 100x shorter time. The bit rate reduction of 1.492 -
                 2.569percent was obtained against HM7.2 anchor, the
                 reference software of H.265/HEVC.",
  notes =        "Also known as \cite{2598462} Distributed at

Genetic Programming entries for Seishi Takamura Atsushi Shimizu