GPGPU-assisted denoising filter generation for video coding

Created by W.Langdon from gp-bibliography.bib Revision:1.8110

@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