Presentation 2022-03-09
Estimating Subjective Video Quality of Smartphone Users Using Bio-signals in Real Environment by Considering Video-watching Contexts
Shotaro Mishina, Mutsumi Suganuma, Wataru Kameyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Subjective Video Quality Estimation / Mobile User / QoE Estimation / Video-watching Context / Bio-signals
Paper # CQ2021-110
Date of Issue 2022-03-02 (CQ)

Conference Information
Committee CQ / IMQ / MVE / IE
Conference Date 2022/3/9(3days)
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
Chair Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT)
Assistant Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT)

Paper Information
Registration To Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering
Language JPN
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
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.)
Date 2022-03-09
Paper # CQ2021-110
Volume (vol) vol.121
Number (no) CQ-421
Page pp.pp.55-60(CQ),
#Pages 6
Date of Issue 2022-03-02 (CQ)