GPGPU-assisted denoising filter generation for video coding
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Takamura:2014:GECCOcomp,
-
author = "Seishi Takamura and Atsushi Shimizu",
-
title = "GPGPU-assisted denoising filter generation for video
coding",
-
booktitle = "GECCO Comp '14: Proceedings of the 2014 conference
companion on Genetic and evolutionary computation
companion",
-
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 = "http://doi.acm.org/10.1145/2598394.2598462",
-
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
GECCO-2014.",
- }
Genetic Programming entries for
Seishi Takamura
Atsushi Shimizu
Citations