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Video scene identification and classification for user-tailored QoE in GEO satellites

Koutsakis, P., Spanou, I. and Lazaris, A. (2017) Video scene identification and classification for user-tailored QoE in GEO satellites. Human-centric Computing and Information Sciences, 7 (1). p. 15.

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Abstract

Satellite networks offer an efficient alternative where no terrestrial networks are available, and can offer a cost effective means of transferring data. Numerous proposals have addressed the problem of resource allocation in geostationary (GEO) satellites, and have been evaluated via various performance metrics related to user Quality of Service (QoS). However, ensuring that on average the users’ QoS requirements are satisfied does not guarantee the satisfaction of their individual Quality of Experience (QoE) requirements, especially in the case of bursty video users. This paper proposes the use of video scene identification and classification for traffic modeling at the scene level in order to improve resource allocation and user QoE in GEO satellite networks. The proposed call admission control and medium access control framework makes decisions based on available bandwidth, long-term and short-term user satisfaction and the revenue that the provider may gain.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: SpringerOpen
Copyright: © The Author(s) 2017.
URI: http://researchrepository.murdoch.edu.au/id/eprint/37119
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