Presentation 2009-09-11
Estimation of QoE with Nonlinear Multiple Regression Analysis in Interactive Audiovisual IP Communications
Toshiro NUNOME, Shuji TASAKA, Yuta OSAWA,
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Abstract(in English) This report studies estimation methods of QoE (Quality of Experience) of interactive audiovisual applications in bandwidth guaranteed IP networks for QoE monitoring and management. In order to estimate the QoE, we employ multiple regression lines which are obtained by nonlinear multiple regression analysis. As independent variables for the analysis, we employ not only controllable system-parameters including playout buffering time but also application-level QoS parameters which can be measured in real time at the receiver-side. We suppose two kinds of task: an audio-dominant task, and one whose video affects QoE more than the former. We derive two kinds of estimation equations: regression lines for each task (Method 1), and the ones for each pair of task and video encoding bit rate (Method 2). We then found that Method 2 can estimate QoE with higher accuracy than Method 1, although Method 2 may fail to obtain the regression line owing to few stimuli.
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Keyword(in English) Interactive audiovisual communications / Bandwidth guaranteed IP networks / NGN / QoE / Real-time estimation / Nonlinear multiple regression analysis
Paper # CQ2009-36
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Committee CQ
Conference Date 2009/9/3(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of QoE with Nonlinear Multiple Regression Analysis in Interactive Audiovisual IP Communications
Sub Title (in English)
Keyword(1) Interactive audiovisual communications
Keyword(2) Bandwidth guaranteed IP networks
Keyword(3) NGN
Keyword(4) QoE
Keyword(5) Real-time estimation
Keyword(6) Nonlinear multiple regression analysis
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
3rd Author's Name Yuta OSAWA
3rd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology
Date 2009-09-11
Paper # CQ2009-36
Volume (vol) vol.109
Number (no) 191
Page pp.pp.-
#Pages 6
Date of Issue