Audiovisual network service optimization by quality of experience estimation
(2012) NEM - Networked and Electronic Media Summit p.59-64- Abstract
- With the growing popularity of audio and video communication services on the Internet, network operators, service providers and application developers are becoming increasingly interested in assuring that their services give the best possible experience to the users. Since real-time audio and video services are very sensitive to packet loss, latency and bandwidth variations, the performance of the network must be monitored in real time so that the service can be adapted to varying network conditions by mechanisms such as rate control, forward error correction and jitter buffer adaptation. However, in order to optimize a service in terms of the user’s experience, the subjective effect that various network perturbations have on the user... (More)
- With the growing popularity of audio and video communication services on the Internet, network operators, service providers and application developers are becoming increasingly interested in assuring that their services give the best possible experience to the users. Since real-time audio and video services are very sensitive to packet loss, latency and bandwidth variations, the performance of the network must be monitored in real time so that the service can be adapted to varying network conditions by mechanisms such as rate control, forward error correction and jitter buffer adaptation. However, in order to optimize a service in terms of the user’s experience, the subjective effect that various network perturbations have on the user should be taken into consideration in the service adaptation mechanism. In this paper we present a novel approach to performance optimization based on rate adaptation driven by real-time estimation of the subjective Quality of Experience of a videoconferencing service. A proof-of-concept service optimization framework consisting of network monitoring, quality estimation, rate adaptation and service optimization mechanisms is presented and a testbed configuration based on network emulation is described and used for evaluation. Our initial experiments show that the
approach is viable in practice and can substantially improve the Quality of Experience of real-time audiovisual services. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2534875
- author
- Johanson, Mathias ; Jalminger, Jonas ; Laulajainen, Jukka-Pekka and Bür, Kaan LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of NEM – Networked and Electronic Media Summit
- pages
- 59 - 64
- publisher
- Eurescom – the European Institute for Research and Strategic Studies in Telecommunications – GmbH
- conference name
- NEM - Networked and Electronic Media Summit
- conference location
- Istanbul, Turkey
- conference dates
- 2012-10-16 - 2012-10-18
- ISBN
- 978-3-00-039710-3
- language
- English
- LU publication?
- yes
- id
- 24560b54-2660-4304-8504-f4b7479accfa (old id 2534875)
- alternative location
- https://nem-initiative.org/wp-content/uploads/2015/06/2012_NEM_Summit_Proceedings.pdf
- date added to LUP
- 2016-04-04 10:28:50
- date last changed
- 2023-10-02 15:26:53
@inproceedings{24560b54-2660-4304-8504-f4b7479accfa,
abstract = {{With the growing popularity of audio and video communication services on the Internet, network operators, service providers and application developers are becoming increasingly interested in assuring that their services give the best possible experience to the users. Since real-time audio and video services are very sensitive to packet loss, latency and bandwidth variations, the performance of the network must be monitored in real time so that the service can be adapted to varying network conditions by mechanisms such as rate control, forward error correction and jitter buffer adaptation. However, in order to optimize a service in terms of the user’s experience, the subjective effect that various network perturbations have on the user should be taken into consideration in the service adaptation mechanism. In this paper we present a novel approach to performance optimization based on rate adaptation driven by real-time estimation of the subjective Quality of Experience of a videoconferencing service. A proof-of-concept service optimization framework consisting of network monitoring, quality estimation, rate adaptation and service optimization mechanisms is presented and a testbed configuration based on network emulation is described and used for evaluation. Our initial experiments show that the<br/>approach is viable in practice and can substantially improve the Quality of Experience of real-time audiovisual services.}},
author = {{Johanson, Mathias and Jalminger, Jonas and Laulajainen, Jukka-Pekka and Bür, Kaan}},
booktitle = {{Proceedings of NEM – Networked and Electronic Media Summit}},
isbn = {{978-3-00-039710-3}},
language = {{eng}},
pages = {{59--64}},
publisher = {{Eurescom – the European Institute for Research and Strategic Studies in Telecommunications – GmbH}},
title = {{Audiovisual network service optimization by quality of experience estimation}},
url = {{https://lup.lub.lu.se/search/files/5549014/2930485.pdf}},
year = {{2012}},
}