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No-reference bitstream-based visual quality impairment detection for high definition H.264/AVC encoded video sequences

Nicolas Staelens UGent, Glenn Van Wallendael UGent, Karel Crombecq UGent, Nick Vercammen UGent, Jan De Cock UGent, Brecht Vermeulen UGent, Rik Van de Walle UGent, Tom Dhaene UGent and Piet Demeester UGent (2012) IEEE TRANSACTIONS ON BROADCASTING. 58(2). p.187-199
abstract
Ensuring and maintaining adequate Quality of Experience towards end-users are key objectives for video service providers, not only for increasing customer satisfaction but also as service differentiator. However, in the case of High Definition video streaming over IP-based networks, network impairments such as packet loss can severely degrade the perceived visual quality. Several standard organizations have established a minimum set of performance objectives which should be achieved for obtaining satisfactory quality. Therefore, video service providers should continuously monitor the network and the quality of the received video streams in order to detect visual degradations. Objective video quality metrics enable automatic measurement of perceived quality. Unfortunately, the most reliable metrics require access to both the original and the received video streams which makes them inappropriate for real-time monitoring. In this article, we present a novel no-reference bitstream-based visual quality impairment detector which enables real-time detection of visual degradations caused by network impairments. By only incorporating information extracted from the encoded bitstream, network impairments are classified as visible or invisible to the end-user. Our results show that impairment visibility can be classified with a high accuracy which enables real-time validation of the existing performance objectives.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
high definition, H.264/AVC, IMPACT, PACKET-LOSS VISIBILITY, no-reference, objective video quality, quality of experience (QoE).
journal title
IEEE TRANSACTIONS ON BROADCASTING
IEEE Trans. Broadcast.
volume
58
issue
2
pages
187 - 199
Web of Science type
Article
Web of Science id
000304541300004
JCR category
TELECOMMUNICATIONS
JCR impact factor
2.087 (2012)
JCR rank
10/76 (2012)
JCR quartile
1 (2012)
ISSN
0018-9316
DOI
10.1109/TBC.2012.2189334
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2957084
handle
http://hdl.handle.net/1854/LU-2957084
date created
2012-07-06 11:47:09
date last changed
2012-07-06 15:07:58
@article{2957084,
  abstract     = {Ensuring and maintaining adequate Quality of Experience towards end-users are key objectives for video service providers, not only for increasing customer satisfaction but also as service differentiator. However, in the case of High Definition video streaming over IP-based networks, network impairments such as packet loss can severely degrade the perceived visual quality. Several standard organizations have established a minimum set of performance objectives which should be achieved for obtaining satisfactory quality. Therefore, video service providers should continuously monitor the network and the quality of the received video streams in order to detect visual degradations. Objective video quality metrics enable automatic measurement of perceived quality. Unfortunately, the most reliable metrics require access to both the original and the received video streams which makes them inappropriate for real-time monitoring. In this article, we present a novel no-reference bitstream-based visual quality impairment detector which enables real-time detection of visual degradations caused by network impairments. By only incorporating information extracted from the encoded bitstream, network impairments are classified as visible or invisible to the end-user. Our results show that impairment visibility can be classified with a high accuracy which enables real-time validation of the existing performance objectives.},
  author       = {Staelens, Nicolas and Van Wallendael, Glenn and Crombecq, Karel and Vercammen, Nick and De Cock, Jan and Vermeulen, Brecht and Van de Walle, Rik and Dhaene, Tom and Demeester, Piet},
  issn         = {0018-9316},
  journal      = {IEEE TRANSACTIONS ON BROADCASTING},
  keyword      = {high definition,H.264/AVC,IMPACT,PACKET-LOSS VISIBILITY,no-reference,objective video quality,quality of experience (QoE).},
  language     = {eng},
  number       = {2},
  pages        = {187--199},
  title        = {No-reference bitstream-based visual quality impairment detection for high definition H.264/AVC encoded video sequences},
  url          = {http://dx.doi.org/10.1109/TBC.2012.2189334},
  volume       = {58},
  year         = {2012},
}

Chicago
Staelens, Nicolas, Glenn Van Wallendael, Karel Crombecq, Nick Vercammen, Jan De Cock, Brecht Vermeulen, Rik Van de Walle, Tom Dhaene, and Piet Demeester. 2012. “No-reference Bitstream-based Visual Quality Impairment Detection for High Definition H.264/AVC Encoded Video Sequences.” Ieee Transactions on Broadcasting 58 (2): 187–199.
APA
Staelens, Nicolas, Van Wallendael, G., Crombecq, K., Vercammen, N., De Cock, J., Vermeulen, B., Van de Walle, R., et al. (2012). No-reference bitstream-based visual quality impairment detection for high definition H.264/AVC encoded video sequences. IEEE TRANSACTIONS ON BROADCASTING, 58(2), 187–199.
Vancouver
1.
Staelens N, Van Wallendael G, Crombecq K, Vercammen N, De Cock J, Vermeulen B, et al. No-reference bitstream-based visual quality impairment detection for high definition H.264/AVC encoded video sequences. IEEE TRANSACTIONS ON BROADCASTING. 2012;58(2):187–99.
MLA
Staelens, Nicolas, Glenn Van Wallendael, Karel Crombecq, et al. “No-reference Bitstream-based Visual Quality Impairment Detection for High Definition H.264/AVC Encoded Video Sequences.” IEEE TRANSACTIONS ON BROADCASTING 58.2 (2012): 187–199. Print.