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| Presentation | 2020-05-28 15:25 An Autoregressive Image Generative Model and the Bayes Code for It Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.)  IT2020-4 EMM2020-4 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose an autoregressive stochastic generative model for images. This model should be one of the most basic models for the new type of lossless image compression which explicitly assume the stochastic generative model. We construct a sub-optimal Bayes coding algorithm for it. In addition, we can theoretically interpret the implicitly assumed stochastic generative models in the various previous predictive coding methods as the expanded versions of our model. We perform experiments on synthetic and real images to confirm the property of our model and the algorithm. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | generative model / autoregressive model / lossless image compression / Bayes code / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 43, IT2020-4, pp. 19-24, May 2020. | |
| Paper # | IT2020-4 | |
| Date of Issue | 2020-05-21 (IT, EMM) | |
| ISSN | 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 | IT2020-4 EMM2020-4 |
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| Conference Information | |
| Committee | IT EMM |
| Conference Date | 2020-05-28 - 2020-05-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Security, Information Theory, Information Hiding, etc. |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2020-05-IT-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Autoregressive Image Generative Model and the Bayes Code for It |
| Sub Title (in English) | |
| Keyword(1) | generative model |
| Keyword(2) | autoregressive model |
| Keyword(3) | lossless image compression |
| Keyword(4) | Bayes code |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuta Nakahara |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Toshiyasu Matsushima |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-05-28 15:25:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2020-4, EMM2020-4 |
| Volume (vol) | vol.120 |
| Number (no) | no.43(IT), no.42(EMM) |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2020-05-21 (IT, EMM) |
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