Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

Martín Varela, Hyunwoo Nam, Henning Schulzrinne, Toni Mäki

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

-In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.
Original languageEnglish
Title of host publicationProceedings of 8th International Conference on Quality of Multimedia Experience
PublisherInstitute of Electrical and Electronic Engineers IEEE
Number of pages2
ISBN (Print)978-1-5090-0355-6
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
Event8th International Conference on Quality of Multimedia Experience, QoMEX 2016 - Lisbon, Portugal
Duration: 6 Jun 20168 Jun 2016

Conference

Conference8th International Conference on Quality of Multimedia Experience, QoMEX 2016
Abbreviated titleQoMEX 2016
CountryPortugal
CityLisbon
Period6/06/168/06/16

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Varela, M., Nam, H., Schulzrinne, H., & Mäki, T. (2016). Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. In Proceedings of 8th International Conference on Quality of Multimedia Experience Institute of Electrical and Electronic Engineers IEEE.
Varela, Martín ; Nam, Hyunwoo ; Schulzrinne, Henning ; Mäki, Toni. / Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. Proceedings of 8th International Conference on Quality of Multimedia Experience. Institute of Electrical and Electronic Engineers IEEE, 2016.
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abstract = "-In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.",
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Varela, M, Nam, H, Schulzrinne, H & Mäki, T 2016, Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. in Proceedings of 8th International Conference on Quality of Multimedia Experience. Institute of Electrical and Electronic Engineers IEEE, 8th International Conference on Quality of Multimedia Experience, QoMEX 2016, Lisbon, Portugal, 6/06/16.

Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. / Varela, Martín; Nam, Hyunwoo; Schulzrinne, Henning; Mäki, Toni.

Proceedings of 8th International Conference on Quality of Multimedia Experience. Institute of Electrical and Electronic Engineers IEEE, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment

AU - Varela, Martín

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PY - 2016

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N2 - -In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.

AB - -In this short paper we briefly describe the results of analyzing a large-scale data set of actual YouTube stall patterns collected world-wide as part of Columbia University's YouSlow project, and how we used it to create a simple model for generating realistic stalling patterns with a given number of stalls, a given average stall duration, and a pattern structure (describing the relative length of the stalling events). These stall patterns can be used to perform subjective assessment of HTTP video under realistic conditions. A tool for generating the patterns and the data accompanying this paper has been released for the research community to use.

M3 - Conference article in proceedings

SN - 978-1-5090-0355-6

BT - Proceedings of 8th International Conference on Quality of Multimedia Experience

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Varela M, Nam H, Schulzrinne H, Mäki T. Generating Realistic YouTube-like Stall Patterns for HTTP Video Streaming Assessment. In Proceedings of 8th International Conference on Quality of Multimedia Experience. Institute of Electrical and Electronic Engineers IEEE. 2016