User-centric QoE model of visual perception for mobile videos

Abstract

It is crucial for service providers to improve user’s quality of visual perception for mobile users. Quality of experience (QoE) is an important perceptual visual metric. In this paper, we propose a user-centric QoE assessment model by joint considering technological-aware and psychology-aware parameters in the QoE communication ecosystem. For technological parameters, video encoding features are extracted from the video stream, and video content feature is estimated by video analysis. Moreover, user interests are also quantitatively collected as psychology parameters. Then, QoE model is developed by using support vector machine (SVM). Subjective tests have been performed. The collected data from subjective tests are used for training and validation of the proposed model. The experiment results show that the proposed user-centric QoE assessment model performs better in terms of high Pearson correlation coefficient (PCC) and low root-mean-square error (RMSE) compared with the conventional models.