A study on an evolutionary pixel predictor and its properties
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- @InProceedings{TAKAMURA:2009:ICIP,
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author = "Seishi Takamura and Masaaki Matsumura and
Yoshiyuki Yashima",
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title = "A study on an evolutionary pixel predictor and its
properties",
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booktitle = "16th IEEE International Conference on Image Processing
(ICIP), 2009",
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year = "2009",
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month = nov,
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pages = "1921--1924",
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keywords = "genetic algorithms, genetic programming, lossless
image coding, prediction methods",
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abstract = "Evolutionary methods based on genetic programming (GP)
enable dynamic algorithm generation, and have been
successfully applied to many areas such as plant
control, robot control, and stock market prediction.
However, conventional image/video coding methods such
as JPEG and H.264 all use fixed (non-dynamic)
algorithms without exception. In this article, we
introduce a GP-based image predictor that is
specifically evolved for each input image. Experimental
results demonstrate 2.9percent less entropy (overhead
included) than CALIC's gradient adjusted predictor.",
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DOI = "doi:10.1109/ICIP.2009.5413714",
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ISSN = "1522-4880",
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notes = "Also known as \cite{5413714}",
- }
Genetic Programming entries for
Seishi Takamura
Masaaki Matsumura
Yoshiyuki Yashima
Citations