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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, Brecht Vermeulen (UGent) , Rik Van de Walle (UGent) , Tom Dhaene (UGent) and Piet Demeester (UGent)
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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.
Keywords
high definition, H.264/AVC, IMPACT, PACKET-LOSS VISIBILITY, no-reference, objective video quality, quality of experience (QoE).

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Citation

Please use this url to cite or link to this publication:

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.
@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},
  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},
}

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