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| Paper Abstract and Keywords | ||
| Presentation | 2023-03-02 10:40 Video Metrics Prediction Method Using Packet Timeseries Features for Video Streaming Services Junki Oura, Akihiro Wada, Masatoshi Ogawa, Jun Kakuta, Kaoru Yokoo, Teruhisa Ninomiya (Fujitsu)  NS2022-173 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, a lot of network traffic is generated from video streaming services. In video streaming services, encode quality and loading time are important factors for quality of user experience. To provide better environment to users who watching streamed videos, it is important to know users’ quality of experience and to maintain good network health. In this paper, we propose video metrics prediction method by using timeseries features of encrypted packets flow. The experimental evaluation showed that our proposed method achieved good performance than conventional method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Adaptive Bitrate / Timeseries Features / LSTM / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 406, NS2022-173, pp. 37-42, March 2023. | |
| Paper # | NS2022-173 | |
| Date of Issue | 2023-02-23 (NS) | |
| 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 | NS2022-173 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2023-03-02 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Centre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2023-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Video Metrics Prediction Method Using Packet Timeseries Features for Video Streaming Services |
| Sub Title (in English) | |
| Keyword(1) | Adaptive Bitrate |
| Keyword(2) | Timeseries Features |
| Keyword(3) | LSTM |
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| 1st Author's Name | Junki Oura |
| 1st Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 2nd Author's Name | Akihiro Wada |
| 2nd Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 3rd Author's Name | Masatoshi Ogawa |
| 3rd Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 4th Author's Name | Jun Kakuta |
| 4th Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 5th Author's Name | Kaoru Yokoo |
| 5th Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 6th Author's Name | Teruhisa Ninomiya |
| 6th Author's Affiliation | Fujitsu Limited (Fujitsu) |
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| Speaker | Author-1 |
| Date Time | 2023-03-02 10:40:00 |
| Presentation Time | 20 minutes |
| Registration for | NS |
| Paper # | NS2022-173 |
| Volume (vol) | vol.122 |
| Number (no) | no.406 |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (NS) |
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