Estimation of multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission

In this paper, we study 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. We assess QoE multidimensionally and 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.