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

Toshiro NUNOME  Shuji TASAKA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E98-B   No.3   pp.515-524
Publication Date: 2015/03/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E98.B.515
Type of Manuscript: PAPER
Category: Multimedia Systems for Communications
Keyword: 
multi-view video and audio,  QoE estimation,  linear regression analysis,  multidimensional assessment,  

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Summary: 
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.