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| Presentation | 2019-03-14 15:10 Study of Ultra-low-latency Video Coding Method for Autonomous Vehicles Kaito Mori, Seiji Mochizuki (Nihon Univ.), Kousuke Imamura, Koji Yogiashi, Yoshio Matsuda (Kanazawa Univ.), Tetsuya Matsumura (Nihon Univ.)  IMQ2018-41 IE2018-125 MVE2018-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Applications such as autonomous driving and virtual reality (VR) require low-latency transfer of high definition (HD) video. The proposed ultra-low-latency video coding method, which adopts line-based processing, has 0.44μs latency at minimum for Full-HD video. With multiple line-based image-prediction methods, image-adaptive quantization, and optimized entropy coding, the proposed method achieves compression to 39.0% data size and image quality of 45.4dB. The proposed basic algorithm and the optional 1D-DCT mode achieve compression to 33% and 20%, respectively, without significant visual degradation. These results are comparable to those for H.264 Intra despite one-thousandth ultra-low-latency of the proposed method. With the proposed video coding, the autonomous vehicles and VR devices can transfer HD video using 20% of the bandwidth of the source video without significant latency or visual degradation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | video coding / low latency / autonomous driving / virtual reality(VR) / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 501, IE2018-125, pp. 109-114, March 2019. | |
| Paper # | IE2018-125 | |
| Date of Issue | 2019-03-07 (IMQ, IE, MVE) | |
| 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 | IMQ2018-41 IE2018-125 MVE2018-72 |
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| Conference Information | |
| Committee | IMQ IE MVE CQ |
| Conference Date | 2019-03-14 - 2019-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | media of five senses, multimedia, media experience, picture codinge, image media quality, network,quality and reliability, etc |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2019-03-IMQ-IE-MVE-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Ultra-low-latency Video Coding Method for Autonomous Vehicles |
| Sub Title (in English) | |
| Keyword(1) | video coding |
| Keyword(2) | low latency |
| Keyword(3) | autonomous driving |
| Keyword(4) | virtual reality(VR) |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Kaito Mori |
| 1st Author's Affiliation | Nihon University (Nihon Univ.) |
| 2nd Author's Name | Seiji Mochizuki |
| 2nd Author's Affiliation | Nihon University (Nihon Univ.) |
| 3rd Author's Name | Kousuke Imamura |
| 3rd Author's Affiliation | Kanazawa University (Kanazawa Univ.) |
| 4th Author's Name | Koji Yogiashi |
| 4th Author's Affiliation | Kanazawa University (Kanazawa Univ.) |
| 5th Author's Name | Yoshio Matsuda |
| 5th Author's Affiliation | Kanazawa University (Kanazawa Univ.) |
| 6th Author's Name | Tetsuya Matsumura |
| 6th Author's Affiliation | Nihon University (Nihon Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-14 15:10:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | IMQ2018-41, IE2018-125, MVE2018-72 |
| Volume (vol) | vol.118 |
| Number (no) | no.500(IMQ), no.501(IE), no.502(MVE) |
| Page | pp.109-114 |
| #Pages | 6 |
| Date of Issue | 2019-03-07 (IMQ, IE, MVE) |
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