A Survey on Quality of Experience of HTTP Adaptive Streaming

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110440" target="_blank" >RIV/00216305:26220/14:PU110440 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/COMST.2014.2360940" target="_blank" >http://dx.doi.org/10.1109/COMST.2014.2360940</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/COMST.2014.2360940" target="_blank" >10.1109/COMST.2014.2360940</a>

Result language

angličtina

Original language name

A Survey on Quality of Experience of HTTP Adaptive Streaming

Original language description

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 rese

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE COMMUN SURV TUT

ISSN

1553-877X

e-ISSN

—

Volume of the periodical

17

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

26

Pages from-to

469-492

UT code for WoS article

000352024400021

EID of the result in the Scopus database

2-s2.0-84925857232