Publication detail

A Survey on Quality of Experience of HTTP Adaptive Streaming

SEUFERT, M. EGGER, S. SLANINA, M. ZINNER, T. HOSSFELD, T. TRAN-GIA, P.

Original Title

A Survey on Quality of Experience of HTTP Adaptive Streaming

Type

journal article in Web of Science

Language

English

Original Abstract

Changing network conditions pose severe problems video streaming in the Internet. HTTP adaptive streaming (HAS) is a technology employed by numerous video services which relieves these issues by adapting the video to the current network conditions. It enables service providers to improve resource utilization and Quality of Experience (QoE) by incorporating information from different layers in order to deliver and adapt a video in its best possible quality. Thereby, it allows to take into account end user device capabilities, available video quality levels, current network conditions, and current server load. For end users, the major benefits of HAS compared to classical HTTP video streaming are reduced interruptions of the video playback and higher bandwidth utilization, which both generally result in a higher QoE. Adaptation is possible by changing the frame rate, resolution, or quantization of the video, which can be done with various adaptation strategies and related client- and server-side actions. The technical development of HAS, existing open standardized solutions, but also proprietary solutions are reviewed in this article as fundament to derive the QoE influence factors which emerge as a result of adaptation. The main contribution is a comprehensive survey of QoE related works from human computer interaction and networking domains which are structured according to the QoE impact of video adaptation. To be more precise, subjective studies which cover QoE aspects of adaptation dimensions and strategies are revisited. As a result, QoE influence factors of HAS and corresponding QoE models are identified, but also open issues and conflicting results are discussed. Furthermore, technical influence factors, which are often ignored in the context of HAS, affect perceptual QoE influence factors and are consequently analyzed. This survey gives the reader an overview of the current state of the art and recent developments. At the same time it targets networking researchers who develop new solutions for HTTP video streaming or assess video streaming from a user centric point of view. Therefore, the article is a major step towards truly improving HAS.

Keywords

HTTP adaptive streaming, variable video quality, dynamic streaming, Quality of Experience

Authors

SEUFERT, M.; EGGER, S.; SLANINA, M.; ZINNER, T.; HOSSFELD, T.; TRAN-GIA, P.

RIV year

2014

Released

1. 12. 2014

ISBN

1553-877X

Periodical

IEEE COMMUN SURV TUT

Year of study

17

Number

1

State

United States of America

Pages from

469

Pages to

492

Pages count

26

BibTex

@article{BUT109406,
  author="Michael {Seufert} and Sebastian {Egger} and Martin {Slanina} and Thomas {Zinner} and Tobias {Hossfeld} and Phuoc {Tran-Gia}",
  title="A Survey on Quality of Experience of HTTP Adaptive Streaming",
  journal="IEEE COMMUN SURV TUT",
  year="2014",
  volume="17",
  number="1",
  pages="469--492",
  doi="10.1109/COMST.2014.2360940",
  issn="1553-877X"
}