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Performance Characterization of Low-Latency Adaptive Streaming From Video Portals

Jeroen van der Hooft (UGent) , Cedric De Boom (UGent) , Stefano Petrangeli (UGent) , Tim Wauters (UGent) and Filip De Turck (UGent)
(2018) IEEE ACCESS. 6. p.43039-43055
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Abstract
News-based websites and portals provide significant amounts of multimedia content to accompany news stories and articles. In this context, the HTTP adaptive streaming is generally used to deliver video over the best-effort Internet, allowing smooth video playback and an acceptable Quality Of Experience (QoE). To stimulate the user engagement with the provided content, such as browsing between videos, reducing the videos' startup time has become more and more important: while the current median load time is in the order of seconds, research has shown that the user waiting times must remain below two seconds to achieve an acceptable QoE. In this paper, four complementary components are optimized and integrated into a comprehensive framework for low-latency delivery of news-related video content: 1) server-side encoding with short video segments; 2) HTTP/2 server push at the application layer; 3) server-side user profiling to identify relevant content for a given user; and 4) client-side storage to hold proactively delivered content. Using a large data set of a major Belgian news provider, containing millions of text- and video-based article requests, we show that the proposed framework reduces the videos' startup time in different mobile network scenarios by over 50%, thereby improving the user interaction and skimming available content.
Keywords
STANDARD, EFFICIENCY, NETWORKS, HTTP adaptive streaming, HTTP/2 server push, H.264/AVC, Quality of, Experience, user profiling

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MLA
van der Hooft, Jeroen, Cedric De Boom, Stefano Petrangeli, et al. “Performance Characterization of Low-Latency Adaptive Streaming From Video Portals.” IEEE ACCESS 6 (2018): 43039–43055. Print.
APA
van der Hooft, J., De Boom, C., Petrangeli, S., Wauters, T., & De Turck, F. (2018). Performance Characterization of Low-Latency Adaptive Streaming From Video Portals. IEEE ACCESS, 6, 43039–43055.
Chicago author-date
van der Hooft, Jeroen, Cedric De Boom, Stefano Petrangeli, Tim Wauters, and Filip De Turck. 2018. “Performance Characterization of Low-Latency Adaptive Streaming From Video Portals.” Ieee Access 6: 43039–43055.
Chicago author-date (all authors)
van der Hooft, Jeroen, Cedric De Boom, Stefano Petrangeli, Tim Wauters, and Filip De Turck. 2018. “Performance Characterization of Low-Latency Adaptive Streaming From Video Portals.” Ieee Access 6: 43039–43055.
Vancouver
1.
van der Hooft J, De Boom C, Petrangeli S, Wauters T, De Turck F. Performance Characterization of Low-Latency Adaptive Streaming From Video Portals. IEEE ACCESS. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2018;6:43039–55.
IEEE
[1]
J. van der Hooft, C. De Boom, S. Petrangeli, T. Wauters, and F. De Turck, “Performance Characterization of Low-Latency Adaptive Streaming From Video Portals,” IEEE ACCESS, vol. 6, pp. 43039–43055, 2018.
@article{8574440,
  abstract     = {News-based websites and portals provide significant amounts of multimedia content to accompany news stories and articles. In this context, the HTTP adaptive streaming is generally used to deliver video over the best-effort Internet, allowing smooth video playback and an acceptable Quality Of Experience (QoE). To stimulate the user engagement with the provided content, such as browsing between videos, reducing the videos' startup time has become more and more important: while the current median load time is in the order of seconds, research has shown that the user waiting times must remain below two seconds to achieve an acceptable QoE. In this paper, four complementary components are optimized and integrated into a comprehensive framework for low-latency delivery of news-related video content: 1) server-side encoding with short video segments; 2) HTTP/2 server push at the application layer; 3) server-side user profiling to identify relevant content for a given user; and 4) client-side storage to hold proactively delivered content. Using a large data set of a major Belgian news provider, containing millions of text- and video-based article requests, we show that the proposed framework reduces the videos' startup time in different mobile network scenarios by over 50%, thereby improving the user interaction and skimming available content.},
  author       = {van der Hooft, Jeroen and De Boom, Cedric and Petrangeli, Stefano and Wauters, Tim and De Turck, Filip},
  issn         = {2169-3536},
  journal      = {IEEE ACCESS},
  keywords     = {STANDARD,EFFICIENCY,NETWORKS,HTTP adaptive streaming,HTTP/2 server push,H.264/AVC,Quality of,Experience,user profiling},
  language     = {eng},
  pages        = {43039--43055},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {Performance Characterization of Low-Latency Adaptive Streaming From Video Portals},
  url          = {http://dx.doi.org/10.1109/ACCESS.2018.2863033},
  volume       = {6},
  year         = {2018},
}

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