Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission

• NUNOME Toshiro

  Graduate School of Engineering, Nagoya Institute of Technology

• TASAKA Shuji

  Department of Research, Nagoya Industrial Science Research Institute

Abstract

In this paper, we propose a framework for the real-time estimation of a multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission. The framework utilizes linear multiple regression analysis with application-level and transport-level QoS parameters which can be measured in real time. In order to cope with a variety of MVV-A usage-situations, we introduce the concept of usage-situation type for grouping usage-situations with similar features to apply a representative regression line. We deal with two contents, two camera arrangements, and two user interfaces for viewpoint change as representative examples of the usage-situations. We assess multidimensional QoE of MVV-A with various types of average load, playout buffering time, and delay in the network. We then conduct the multiple regression analysis for the multidimensional QoE values represented by a psychological scale. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.

Journal

• IEICE Transactions on Communications

  IEICE Transactions on Communications E98.B (3), 515-524, 2015

  The Institute of Electronics, Information and Communication Engineers

Keywords

• multi-view video and audio
• QoE estimation
• linear regression analysis
• multidimensional assessment

Details

• CRID: 1390001204375964544
• NII Article ID: 130004841632
• DOI: 10.1587/transcom.e98.b.515
• ISSN: 17451345
• ISSN: 09168516
• Web Site: https://www.jstage.jst.go.jp/article/transcom/E98.B/3/E98.B_515/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed