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Published (Version of Record)CC BY V4.0, Open Access
Journal article
Video scene identification and classification for user-tailored QoE in GEO satellites
Human-centric Computing and Information Sciences, Vol.7, Article number: 15
2017
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.
Details
- Title
- Video scene identification and classification for user-tailored QoE in GEO satellites
- Authors/Creators
- P. Koutsakis (Author/Creator) - Murdoch UniversityI. Spanou (Author/Creator) - Cisco Systems (China)A. Lazaris (Author/Creator) - University of Southern California
- Publication Details
- Human-centric Computing and Information Sciences, Vol.7, Article number: 15
- Publisher
- SpringerOpen
- Identifiers
- 991005542962007891
- Copyright
- © The Author(s) 2017
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.46 Distributed & Real Time Computing
- 4.46.1156 Congestion Control
- Web Of Science research areas
- Computer Science, Information Systems
- ESI research areas
- Computer Science