Estimating subjective video quality while using smartphone

In this paper, we investigate to estimate the subjective video quality of mobile users in a real situation of daily life. We conduct an experiment to collect bio-signals and sensor data from three subjects for a week as well as their contexts by questionnaire, and machine learning algorithms includi...

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Bibliographic Details
Published inIEICE COMMUNICATIONS EXPRESS Vol. 9; no. 12; pp. 632 - 635
Main Authors Kameyama, Wataru, Mishina, Shotaro, Suganuma, Mutsumi
Format Journal Article
LanguageEnglish
Published The Institute of Electronics, Information and Communication Engineers 01.12.2020
Subjects
bio-signals
mobile user
QoE
random forest
subjective video quality
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ISSN2187-0136
2187-0136
DOI10.1587/comex.2020COL0035

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Summary:In this paper, we investigate to estimate the subjective video quality of mobile users in a real situation of daily life. We conduct an experiment to collect bio-signals and sensor data from three subjects for a week as well as their contexts by questionnaire, and machine learning algorithms including Random Forest and k-Nearest Neighbor are applied for the estimation. The experimental results show that the subjective video quality is estimated accurately by Random Forest, while the contribution of users’ context is not confirmed. It suggests that the subjective video quality can be well estimated by bio-signals and sensor data of mobile users in a real situation.
ISSN:2187-0136
2187-0136
DOI:10.1587/comex.2020COL0035