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| Presentation | 2019-12-05 13:50 [Poster Presentation] Uncompressed 4K Video Transmission System from Drone through mmWave Yoshitaka Takaku (Tokyo Tech), Yohei Kaieda (SECOM), Kei Sakaguchi (Tokyo Tech)  SR2019-87 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Drones are attracting increasing attention in varieties of research fields because of their flexibility and are expected to be applied to a wide range of potential applications, among which the super-high-resolution video surveillance system using drones especially gains the authors’ research attention. Surveillance systems using cameras with fixed locations always suffer the blind spots due to the blockage or inappropriate deployments. Instead, by using the drones equipped with cameras, the surveillance performance can be drastically improved due to their high mobilities. The video quality is also a key factor of the surveillance performance. In face recognition, one of the most important surveillance applications, the uncompressed video can greatly improve the detection accuracy, but it is difficult to transmit uncompressed video in real time due to the huge data sizes. To address the issue, we propose to use the ultra-high speed mmWave communication for the video transmission from drones. Moreover, due to the limited battery energy and computing power in drones, we introduce the edge computing and propose to offload all the computation from the drones to the ground station. In addition, a proof-of-concept prototype hardware of the proposed uncompressed 4K video transmission system from drones through mmWave is developed, and the experiments results are consistent with the system design expectations. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | 5G / mmWave / lens antenna / 4K uncompressed video / face recognition / edge computing / proof-of-concept / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 325, SR2019-87, pp. 7-13, Dec. 2019. | |
| Paper # | SR2019-87 | |
| Date of Issue | 2019-11-28 (SR) | |
| 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 | SR2019-87 |
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| Conference Information | |
| Committee | SR |
| Conference Date | 2019-12-05 - 2019-12-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishigaki City Hall (Ishigaki Island) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | cognitive radio, machine learning application, heterogeneous network, SDN, IoT etc. |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2019-12-SR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Uncompressed 4K Video Transmission System from Drone through mmWave |
| Sub Title (in English) | |
| Keyword(1) | 5G |
| Keyword(2) | mmWave |
| Keyword(3) | lens antenna |
| Keyword(4) | 4K uncompressed video |
| Keyword(5) | face recognition |
| Keyword(6) | edge computing |
| Keyword(7) | proof-of-concept |
| Keyword(8) | |
| 1st Author's Name | Yoshitaka Takaku |
| 1st Author's Affiliation | Tokyo institute of technology (Tokyo Tech) |
| 2nd Author's Name | Yohei Kaieda |
| 2nd Author's Affiliation | SECOM (SECOM) |
| 3rd Author's Name | Kei Sakaguchi |
| 3rd Author's Affiliation | Tokyo institute of technology (Tokyo Tech) |
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| Speaker | Author-1 |
| Date Time | 2019-12-05 13:50:00 |
| Presentation Time | 105 minutes |
| Registration for | SR |
| Paper # | SR2019-87 |
| Volume (vol) | vol.119 |
| Number (no) | no.325 |
| Page | pp.7-13 |
| #Pages | 7 |
| Date of Issue | 2019-11-28 (SR) |
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