| Presentation | 2009-02-04 Generation and Evaluation of GP-Based Pixel Pedictor Seishi TAKAMURA, Masaaki MATSUMURA, Yoshiyuki YASHIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | 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 1.4% and 1.8% entropy reduction (overhead included) against the optimal linear predictor and CALIC's gradient adjusted predictor, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | genetic programming / image predictor / lossless image coding |
| Paper # | ITS2008-40,IE2008-210 |
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| Committee | ITS |
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| Conference Date | 2009/1/28(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Intelligent Transport Systems Technology (ITS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generation and Evaluation of GP-Based Pixel Pedictor |
| Sub Title (in English) | |
| Keyword(1) | genetic programming |
| Keyword(2) | image predictor |
| Keyword(3) | lossless image coding |
| 1st Author's Name | Seishi TAKAMURA |
| 1st Author's Affiliation | NTT Cyber Space Labotratories, NTT Corporation() |
| 2nd Author's Name | Masaaki MATSUMURA |
| 2nd Author's Affiliation | NTT Cyber Space Labotratories, NTT Corporation |
| 3rd Author's Name | Yoshiyuki YASHIMA |
| 3rd Author's Affiliation | NTT Cyber Space Labotratories, NTT Corporation |
| Date | 2009-02-04 |
| Paper # | ITS2008-40,IE2008-210 |
| Volume (vol) | vol.108 |
| Number (no) | 424 |
| Page | pp.pp.- |
| #Pages | 4 |
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