NDLI: Measuring Quality of Experience on a Commercial Mobile TV Platform

Content Provider	IEEE Xplore Digital Library
Author	Menkovski, V. Exarchakos, G. Liotta, A. Sánchez, A.C.
Copyright Year	2010
Abstract	Learning more about the customers' perceived quality is of significant importance for service providers. This information can be used to better manage the system resources and provide more value to the users. However, it is often not easy to develop autonomic mechanisms that can accurately measure the delivered quality of multimedia services due to the subjectiveness of the perceived quality. While the most accurate methods involve subjective testing, which is costly and impractical, the existing objective ones lack of accuracy. In this work we present a methodology that uses limited initial subjective tests to develop prediction models for Quality of Experience (QoE) as perceived by the viewers. These prediction models are further used as part of a QoE estimation platform that assesses the value of perceived quality based on the underlying conditions of the system.
Starting Page	33
Ending Page	38
File Size	691453
Page Count	6
File Format	PDF
ISBN	9781424472772
e-ISBN	9781424472789
DOI	10.1109/MMEDIA.2010.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-13
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Orbital calculations Quality of Experience QoE Mobile TV Satellite navigation systems Orbits Statistics Machine Learning Space stations Space vehicles Satellite constellations Artificial satellites Satellite ground stations Subjective Testing Monitoring
Content Type	Text
Resource Type	Article

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