Presentation 2011-07-14
QoE Real-Time Estimation of Multi-View Video and Audio (MVV-A) IP Transmission by Application-Level QoS Parameters of Video
Toshiro NUNOME, Shuji TASAKA,
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Abstract(in English) This paper studies a real-time estimation method of QoE of Multi-View Video and Audio (MVV-A) IP transmission. The method utilizes application-level QoS parameters of video which can be measured in real time. At first, we perform an experiment with various types of average load, playout buffering time, and additional delay to the network. In the experiment, we employ two contents and two user interfaces for viewpoint change. QoE is assessed multidimensionally. We then carry out linear regression analysis in order to obtain regression lines for estimating QoE. We use the QoE metrics as the dependent variables and employ the application-level QoS parameters as the independent variables. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.
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Keyword(in English) Multi-view video and audio / QoE estimation / Linear regression analysis / Multidimensional assessment
Paper # CQ2011-22
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Committee CQ
Conference Date 2011/7/7(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) QoE Real-Time Estimation of Multi-View Video and Audio (MVV-A) IP Transmission by Application-Level QoS Parameters of Video
Sub Title (in English)
Keyword(1) Multi-view video and audio
Keyword(2) QoE estimation
Keyword(3) Linear regression analysis
Keyword(4) Multidimensional assessment
1st Author's Name Toshiro NUNOME
1st Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology()
2nd Author's Name Shuji TASAKA
2nd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology
Date 2011-07-14
Paper # CQ2011-22
Volume (vol) vol.111
Number (no) 132
Page pp.pp.-
#Pages 6
Date of Issue