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Modelling video rate evolution in adaptive bitrate selection

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Modelling video rate evolution in adaptive bitrate selection. / Sani, Yusuf; Mauthe, Andreas Ulrich; Edwards, Christopher James.

Proceedings of IEEE International Symposium on Multimedia, ISM 2015. IEEE, 2015. p. 89-94.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Sani, Y, Mauthe, AU & Edwards, CJ 2015, Modelling video rate evolution in adaptive bitrate selection. in Proceedings of IEEE International Symposium on Multimedia, ISM 2015. IEEE, pp. 89-94. https://doi.org/10.1109/ISM.2015.65

APA

Sani, Y., Mauthe, A. U., & Edwards, C. J. (2015). Modelling video rate evolution in adaptive bitrate selection. In Proceedings of IEEE International Symposium on Multimedia, ISM 2015 (pp. 89-94). IEEE. https://doi.org/10.1109/ISM.2015.65

Vancouver

Sani Y, Mauthe AU, Edwards CJ. Modelling video rate evolution in adaptive bitrate selection. In Proceedings of IEEE International Symposium on Multimedia, ISM 2015. IEEE. 2015. p. 89-94 https://doi.org/10.1109/ISM.2015.65

Author

Sani, Yusuf ; Mauthe, Andreas Ulrich ; Edwards, Christopher James. / Modelling video rate evolution in adaptive bitrate selection. Proceedings of IEEE International Symposium on Multimedia, ISM 2015. IEEE, 2015. pp. 89-94

Bibtex

@inproceedings{3b56d47727574e1c8e599a6f5fc5565c,
title = "Modelling video rate evolution in adaptive bitrate selection",
abstract = "Adaptive bitrate selection adjusts the quality of HTTP streaming video to a changing context. A number of different schemes have been proposed that use buffer state in the selection of the appropriate video rate. However, models describing the relationship between video quality levels and buffer occupancy are mostly based on heuristics, which often results in unstable and/or suboptimal quality. In this paper, we present a QoE-aware video rate evolution model based on buffer state changes. The scheme is evaluated within a real world Internet environment, where it is shown to improve the stability of the video rate. Up to 27% gain in average video rate can be achieved compared to the baseline ABR. The average throughput utilisation at a steady-state reaches 100% in some of the investigated scenarios.",
author = "Yusuf Sani and Mauthe, {Andreas Ulrich} and Edwards, {Christopher James}",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2015",
month = dec,
day = "14",
doi = "10.1109/ISM.2015.65",
language = "English",
isbn = "9781509003792",
pages = "89--94",
booktitle = "Proceedings of IEEE International Symposium on Multimedia, ISM 2015",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Modelling video rate evolution in adaptive bitrate selection

AU - Sani, Yusuf

AU - Mauthe, Andreas Ulrich

AU - Edwards, Christopher James

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2015/12/14

Y1 - 2015/12/14

N2 - Adaptive bitrate selection adjusts the quality of HTTP streaming video to a changing context. A number of different schemes have been proposed that use buffer state in the selection of the appropriate video rate. However, models describing the relationship between video quality levels and buffer occupancy are mostly based on heuristics, which often results in unstable and/or suboptimal quality. In this paper, we present a QoE-aware video rate evolution model based on buffer state changes. The scheme is evaluated within a real world Internet environment, where it is shown to improve the stability of the video rate. Up to 27% gain in average video rate can be achieved compared to the baseline ABR. The average throughput utilisation at a steady-state reaches 100% in some of the investigated scenarios.

AB - Adaptive bitrate selection adjusts the quality of HTTP streaming video to a changing context. A number of different schemes have been proposed that use buffer state in the selection of the appropriate video rate. However, models describing the relationship between video quality levels and buffer occupancy are mostly based on heuristics, which often results in unstable and/or suboptimal quality. In this paper, we present a QoE-aware video rate evolution model based on buffer state changes. The scheme is evaluated within a real world Internet environment, where it is shown to improve the stability of the video rate. Up to 27% gain in average video rate can be achieved compared to the baseline ABR. The average throughput utilisation at a steady-state reaches 100% in some of the investigated scenarios.

U2 - 10.1109/ISM.2015.65

DO - 10.1109/ISM.2015.65

M3 - Conference contribution/Paper

SN - 9781509003792

SP - 89

EP - 94

BT - Proceedings of IEEE International Symposium on Multimedia, ISM 2015

PB - IEEE

ER -