Evolved nonlinear predictor functions for lossless image compression
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Barresi:2014:GECCOcomp,
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author = "Kevin M. Barresi",
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title = "Evolved nonlinear predictor functions for lossless
image compression",
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booktitle = "GECCO Comp '14: Proceedings of the 2014 conference
companion on Genetic and evolutionary computation
companion",
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year = "2014",
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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",
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isbn13 = "978-1-4503-2881-4",
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keywords = "genetic algorithms, genetic programming: Poster",
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pages = "129--130",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "http://doi.acm.org/10.1145/2598394.2598503",
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DOI = "doi:10.1145/2598394.2598503",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Due to the increased quantity of digital data,
especially in the form of digital images, the need for
effective image compression techniques is greater than
ever. The JPEG lossless mode relies on predictive
coding, in which accurate predictive models are
critical. This study presents an efficient method of
generating predictor models for input images via
genetic programming. It is shown to always produce
error images with entropy equal to or lower than those
produced by the JPEG lossless mode. This method is
demonstrated to have practical use as a real-time
asymmetric image compression algorithm due to its
ability to quickly and reliably derive prediction
models.",
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notes = "Also known as \cite{2598503} Distributed at
GECCO-2014.",
- }
Genetic Programming entries for
Kevin M Barresi
Citations