Automatic pixel predictor construction using an evolutionary method

Created by W.Langdon from gp-bibliography.bib Revision:1.7917

@InProceedings{TAKAMURA:2009:PCS,

• author = "Seishi Takamura and Masaaki Matsumura and Yoshiyuki Yashima",
• title = "Automatic pixel predictor construction using an evolutionary method",
• booktitle = "Picture Coding Symposium, 2009. PCS 2009",
• year = "2009",
• month = may,
• pages = "1--4",
• keywords = "genetic algorithms, genetic programming, automatic pixel predictor construction, evolutionary method, image predictor, image coding",
• DOI = "doi:10.1109/PCS.2009.5167448",
• 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. Preliminary results demonstrate 1.4percent and 1.7percent entropy reduction (overhead included) against the optimal linear predictor and CALIC's gradient adjusted predictor, respectively.",
• notes = "Also known as \cite{5167448}",

}

Genetic Programming entries for Seishi Takamura Masaaki Matsumura Yoshiyuki Yashima

Citations