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Subjective evaluation of critical success factors for a QoE aware adaptive system
Authors:Alberto Alvarez  Laura Pozueco  Sergio Cabrero  Xabiel G. Pañeda  Roberto Garcia  David Melendi  Gabriel Díaz Orueta
Affiliation:1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;2. Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai 200240, China;1. HAW Hamburg, Dept. Informatik, Berliner Tor 7, D-20099 Hamburg, Germany;2. Freie Universität Berlin, Inst. für Informatik, Takustraße 9, D-14195 Berlin, Germany;1. Hasso Plattner Institute (HPI), University of Potsdam, P.O.Box 900460, 14440, Potsdam, Germany;2. Queen Mary, University of London, Mile End Road, London E1 4NS, UK
Abstract:For many years video content delivery has established itself as the killer application. Improving QoE on adaptive streaming is focusing many efforts in the quest for optimized methods and metrics to allow a QoE driven adaptation. Questions such as whether adaptive systems based on Scalable Video Coding improve subjective quality and in which situations or to what degree are still open issues. Tolerance and indifference thresholds for each type of content, conditions or viewer category, with regard to adaptive systems are critical success factors that are yet unresolved. We compare the performance of a complete adaptive system with the traditional, i.e. non-adaptive, approach in subjective terms. Results of surveying 75 participants show that the adaptation improves QoE under most of the evaluated conditions. Tolerance thresholds for triggering adaptation events have been identified. Users accustomed to Internet video are more critical than users that only watch TV. The under 35 year old subset among the available population is generally more satisfied with the adaptive system than the older subset.
Keywords:Subjective quality assessment  Scalable Video Coding (SVC)  Adaptive systems  Quality of experience (QoE)
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