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| Presentation | 2022-03-09 17:45 Estimating Subjective Video Quality of Smartphone Users Using Bio-signals in Real Environment by Considering Video-watching Contexts Shotaro Mishina, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.)  CQ2021-110 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Our previous study suggests that it is possible to estimate the subjective video quality of smartphone users in real environment using machine learning from bio-signals and questionnaire responses. However, the bias of the labels of the objective variables, the large variation of the video lengths per a video, and the analysis with a small number of subjects (three) remains as the issues. Therefore, in this paper, we report the results of an improved experiment in which we select videos with less variation of their lengths, introduce a questionnaire that can be answered in real time, and increase the number of subjects to seven. As a result of the analysis using Random Forest and XGBoost, we find that subjective video quality can be estimated with about 90% by stratified cross-validation, which is same as in the previous study, and that the viewing contexts affect the rank correlation between QoE and QoS. However, the estimation accuracies for unlearned data are still low, which remain as a future issue. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Subjective Video Quality Estimation / Mobile User / QoE Estimation / Video-watching Context / Bio-signals / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 421, CQ2021-110, pp. 55-60, March 2022. | |
| Paper # | CQ2021-110 | |
| Date of Issue | 2022-03-02 (CQ) | |
| 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 | CQ2021-110 |
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| Conference Information | |
| Committee | CQ IMQ MVE IE |
| Conference Date | 2022-03-09 - 2022-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| 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 | CQ |
| Conference Code | 2022-03-CQ-IMQ-MVE-IE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimating Subjective Video Quality of Smartphone Users Using Bio-signals in Real Environment by Considering Video-watching Contexts |
| Sub Title (in English) | |
| Keyword(1) | Subjective Video Quality Estimation |
| Keyword(2) | Mobile User |
| Keyword(3) | QoE Estimation |
| Keyword(4) | Video-watching Context |
| Keyword(5) | Bio-signals |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shotaro Mishina |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Mutsumi Suganuma |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Wataru Kameyama |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-09 17:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2021-110 |
| Volume (vol) | vol.121 |
| Number (no) | no.421 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (CQ) |
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