QoE measurement of mobile YouTube video streaming

Authors:
István Ketykó;Katrien De Moor;Toon De Pessemier;Adrián Juan Verdejo;Kris Vanhecke;Wout Joseph;Luc Martens;Lieven De Marez
Affiliations:
Ghent University, Ghent, Belgium;Ghent University, Ghent , Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium
Venue:
Proceedings of the 3rd workshop on Mobile video delivery
Year:
2010

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Abstract

The scope of this paper is the interdisciplinary measurement and modeling of Quality of Experience (QoE) related to mobile YouTube video streaming in Living Lab environment. The paper introduces the implementation of a QoE measurement framework on the Android platform and discusses results from a first study using this framework. In this respect, a multi-dimensional QoE prediction model consisting of both objective and subjective parameters is presented. In this model, the test users' evaluations of the content, picture quality, sound quality, fluidness, and loading speed of streamed videos are taken into account and related to a set of objective parameters. To our knowledge, this model is the first to include unlimited, realistic video content. We found that the content has the largest influence on the QoE of online recommend video content in mobile context.