Session reconstruction for HTTP adaptive streaming: Laying the foundation for network-based QoE monitoring

@article{Huysegems2012SessionRF,
  title={Session reconstruction for HTTP adaptive streaming: Laying the foundation for network-based QoE monitoring},
  author={Rafael Huysegems and Bart De Vleeschauwer and Koen De Schepper and Chris Hawinkel and Tingyao Wu and Koenraad Laevens and Werner Van Leekwijck},
  journal={2012 IEEE 20th International Workshop on Quality of Service},
  year={2012},
  pages={1-9}
}
HTTP Adaptive Streaming (HAS) is rapidly becoming a key video delivery technology for fixed and mobile networks. However, today there is no solution that allows network operators or CDN providers to perform network-based QoE monitoring for HAS sessions. We present a HAS QoE monitoring system, based on data collected in the network, without monitoring information from the client. To retrieve the major QoE parameters such as average quality, quality variation, rebuffering events and interactivity… 

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References

SHOWING 1-10 OF 20 REFERENCES

Adaptive streaming: The network HAS to help

TLDR
This paper evaluates the responsiveness of HAS algorithms under dynamic conditions and how it affects the overall user experience as well as key infrastructure resources, particularly intermediate caches.

Quality of experience estimation for adaptive HTTP/TCP video streaming using H.264/AVC

TLDR
A no-reference QoE monitoring module for adaptive HTTP streaming using TCP and the H.264 video codec, based on Random Neural Networks, that accurately captures the relation between them andQoE.

Shaping HTTP adaptive streams for a better user experience

TLDR
A mechanism based on traffic chapping that allow bandwidth arbitration to be implemented in the home gateway, first determining desirable target bit-rates to be reached by each stream and then constraining the clients to stay within their limits is experimented.

An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP

TLDR
This paper focuses on the rate-adaptation mechanisms of adaptive streaming and experimentally evaluates two major commercial players (Smooth Streaming, Netflix) and one open source player (OSMF).

Measuring the quality of experience of HTTP video streaming

TLDR
Analysis of the relationship among three levels of quality of service (QoS) of HTTP video streaming reveals that the frequency of rebuffering is the main factor responsible for the variations in the QoE.

Enabling autonomic access network QoE management through TCP connection monitoring.

TLDR
This paper introduces ANTMA, the Access Node TCP Monitoring Algorithm, which monitors TCP connections by analyzing the packets that pass an intermediate point, such as an access network element or a residential gateway, thereby allowing fault isolation.

On the way to high-quality video calls in future mobile networks

TLDR
A study of quality experience during selected periods of emulated video calls is presented and the QoE of the analysed material is linked to the underlying transmission properties, which allows to select proper strategies ofQoE adaptation during mobile video calls in future wireless networks.

Feedback control for adaptive live video streaming

TLDR
A Quality Adaptation Controller for live adaptive video streaming designed by employing feedback control theory and found to be able to throttle the video quality to match the available bandwidth with a transient of less than 30s while ensuring a continuous video reproduction.

AVOIDING QUALITY OSCILLATIONS DURING ADAPTIVE STREAMING OF VIDEO

TLDR
A solution to avoid an unpleasant oscillation in quality on the user machine using an EWMA (Exponential Weighted Moving Average) value for each bitrate, which reflects its history.

Perceptual Video Quality and Blockiness Metrics for Multimedia Streaming Applications

TLDR
This paper classify video quality measurement schemes and review existing approaches with a focus on non-intrusive quality metrics, which do not require access to the reference video, to evaluate three different no-reference blockiness metrics and compare their performance.