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| Presentation | 2010-06-18 16:00 Hierarchical Lossless Image Coding Using Cellular Neural Network Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science)  NLP2010-11 NC2010-11 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, a hierarchical lossless image coding scheme using cellular neural network (CNN) is proposed. The coding architecture of the proposed method is based on the lifting scheme that is one of the scalable coding architecture for still images, and the coding performance strongly depends on the prediction ability. To deal with this characteristic, an image interpolation is modeled by an optimal problem that minimizes the prediction error. By the high optimal ability of CNN, the optimal interpolated image can be obtained. Also, in order to achieve the high accuracy prediction, the parameters of CNN predictors are adjusted to the local structure of the image. In the coding layer, the arithmetic coder with context modeling is used for obtaining a high coding efficiency. Experimental results in various standard test images suggest that the coding performance of our proposed method is better than that of conventional hierarchical coding schemes. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | discrete-time cellular neural network / hierarchical coding / context modeling / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 82, NLP2010-11, pp. 69-73, June 2010. | |
| Paper # | NLP2010-11 | |
| Date of Issue | 2010-06-11 (NLP, NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLP2010-11 NC2010-11 |
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| Conference Information | |
| Committee | NC NLP IPSJ-BIO |
| Conference Date | 2010-06-18 - 2010-06-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning for bio-datamining |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2010-06-NC-NLP-BIO |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Hierarchical Lossless Image Coding Using Cellular Neural Network |
| Sub Title (in English) | |
| Keyword(1) | discrete-time cellular neural network |
| Keyword(2) | hierarchical coding |
| Keyword(3) | context modeling |
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| 1st Author's Name | Seiya Takenouchi |
| 1st Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name | Hisashi Aomori |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name | Tsuyoshi Otake |
| 3rd Author's Affiliation | Tamagawa University (Tamagawa Univ.) |
| 4th Author's Name | Mamoru Tanaka |
| 4th Author's Affiliation | Sophia University (Sophia Univ.) |
| 5th Author's Name | Ichiro Matsuda |
| 5th Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 6th Author's Name | Susumu Itoh |
| 6th Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2010-06-18 16:00:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2010-11, NC2010-11 |
| Volume (vol) | vol.110 |
| Number (no) | no.82(NLP), no.83(NC) |
| Page | pp.69-73 |
| #Pages | 5 |
| Date of Issue | 2010-06-11 (NLP, NC) |
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