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| Presentation | 2017-01-20 13:15 A study for improving a goodput estimation method in video streaming services Takafumi Okuyama, Takuto Kimura, Arifumi Matsumoto (NTT)  CQ2016-103 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the video distribution service using HTTP based Adaptive bitrate streaming technology, we have studied a method that predicts the maximum bit rate that does not cause rebuffering by using past download speed (goodput) information gathered from other users to maximize quality of experience(QoE). However, we did not sufficiently take into account various factors that cause goodput changes in the mobile environment and others. Specifically, the goodput is influenced by the data size of the chunk, a base station and a cell allocate different communication modes to a user, appropriate temporal granularity may depends on the time of day. By taking these factors into account, accuracy of goodput prediction may increase. In this paper, we analyzed the characteristics of goodputs collected in the video viewing experiments in the real environment and made considerations to improve the accuracy of goodput prediction. As a result, the prediction accuracy is improved by inputting the chunk size, estimating the communication modes, and appropriate temporal granularity. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | QoE / ABR / Goodput / HTTP streaming / Mobile communication / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 403, CQ2016-103, pp. 75-80, Jan. 2017. | |
| Paper # | CQ2016-103 | |
| Date of Issue | 2017-01-12 (CQ) | |
| 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 | CQ2016-103 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2017-01-19 - 2017-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University Nakanoshima Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2017-01-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study for improving a goodput estimation method in video streaming services |
| Sub Title (in English) | |
| Keyword(1) | QoE |
| Keyword(2) | ABR |
| Keyword(3) | Goodput |
| Keyword(4) | HTTP streaming |
| Keyword(5) | Mobile communication |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takafumi Okuyama |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Takuto Kimura |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Arifumi Matsumoto |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2017-01-20 13:15:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2016-103 |
| Volume (vol) | vol.116 |
| Number (no) | no.403 |
| Page | pp.75-80 |
| #Pages | 6 |
| Date of Issue | 2017-01-12 (CQ) |
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