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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
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.
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
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

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  
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 
Date of Issue 2023-02-23 (NS) 

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