Standard
Quality Evaluation in Peer-to-Peer IPTV Services. / Mu, Mu; Knowles, William; Georgopoulos, Panagiotis et al.
Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. ed. / Ernst Biersack; Christian Callegari; Maja Matijasevic. Berlin : Springer, 2013. p. 302-319 (Lecture Notes in Computer Science; Vol. 7754).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Harvard
Mu, M
, Knowles, W, Georgopoulos, P
, Simpson, S, Cerqueira, E
, Race, N, Mauthe, A & Hutchison, D 2013,
Quality Evaluation in Peer-to-Peer IPTV Services. in E Biersack, C Callegari & M Matijasevic (eds),
Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. Lecture Notes in Computer Science, vol. 7754, Springer, Berlin, pp. 302-319.
https://doi.org/10.1007/978-3-642-36784-7_12APA
Mu, M.
, Knowles, W., Georgopoulos, P.
, Simpson, S., Cerqueira, E.
, Race, N., Mauthe, A., & Hutchison, D. (2013).
Quality Evaluation in Peer-to-Peer IPTV Services. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.),
Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience (pp. 302-319). (Lecture Notes in Computer Science; Vol. 7754). Springer.
https://doi.org/10.1007/978-3-642-36784-7_12Vancouver
Mu M
, Knowles W, Georgopoulos P
, Simpson S, Cerqueira E
, Race N et al.
Quality Evaluation in Peer-to-Peer IPTV Services. In Biersack E, Callegari C, Matijasevic M, editors, Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. Berlin: Springer. 2013. p. 302-319. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-36784-7_12
Author
Mu, Mu
; Knowles, William ; Georgopoulos, Panagiotis et al. /
Quality Evaluation in Peer-to-Peer IPTV Services. Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. editor / Ernst Biersack ; Christian Callegari ; Maja Matijasevic. Berlin : Springer, 2013. pp. 302-319 (Lecture Notes in Computer Science).
Bibtex
@inbook{96c0e673b84343eebee00cd50dfdef24,
title = "Quality Evaluation in Peer-to-Peer IPTV Services",
abstract = "Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.",
keywords = "Quality of Experience, IPTV, Peer-to-Peer, Living Lab",
author = "Mu Mu and William Knowles and Panagiotis Georgopoulos and Steven Simpson and Eduardo Cerqueira and Nicholas Race and Andreas Mauthe and David Hutchison",
year = "2013",
doi = "10.1007/978-3-642-36784-7_12",
language = "English",
isbn = "978-3-642-36783-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "302--319",
editor = "Ernst Biersack and Christian Callegari and Maja Matijasevic",
booktitle = "Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience",
}
RIS
TY - CHAP
T1 - Quality Evaluation in Peer-to-Peer IPTV Services
AU - Mu, Mu
AU - Knowles, William
AU - Georgopoulos, Panagiotis
AU - Simpson, Steven
AU - Cerqueira, Eduardo
AU - Race, Nicholas
AU - Mauthe, Andreas
AU - Hutchison, David
PY - 2013
Y1 - 2013
N2 - Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.
AB - Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.
KW - Quality of Experience
KW - IPTV
KW - Peer-to-Peer
KW - Living Lab
U2 - 10.1007/978-3-642-36784-7_12
DO - 10.1007/978-3-642-36784-7_12
M3 - Chapter
SN - 978-3-642-36783-0
T3 - Lecture Notes in Computer Science
SP - 302
EP - 319
BT - Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience
A2 - Biersack, Ernst
A2 - Callegari, Christian
A2 - Matijasevic, Maja
PB - Springer
CY - Berlin
ER -
