Advanced

Quality of experience for adaptive streaming using HTTP Dynamic Streaming

Johansson, Stefan LU and Norén, Daniel (2015) EITM01 20132
Department of Electrical and Information Technology
Abstract
This thesis investigates how to establish the relationship between OSI layer 7
parameters of video streaming and the QoE of the user, and to evaluate which
methods are most tting for the estimation of QoE. The project is made in
cooperation with LTH and Acreo, and is a part of the Next generation over-the-top
multimedia services (NOTTS) 7and the Eco system for Future Media Distribution
(EFRAIM) project.
The underlying techniques, which form the environment of our research of
estimating the QoE, is adaptive bitrate streaming over TCP. The purpose is to
investigate how a service, that provides a user with the means to benchmark the
received quality of the Over the top (OTT) streaming service, can be built and
distributed. Today... (More)
This thesis investigates how to establish the relationship between OSI layer 7
parameters of video streaming and the QoE of the user, and to evaluate which
methods are most tting for the estimation of QoE. The project is made in
cooperation with LTH and Acreo, and is a part of the Next generation over-the-top
multimedia services (NOTTS) 7and the Eco system for Future Media Distribution
(EFRAIM) project.
The underlying techniques, which form the environment of our research of
estimating the QoE, is adaptive bitrate streaming over TCP. The purpose is to
investigate how a service, that provides a user with the means to benchmark the
received quality of the Over the top (OTT) streaming service, can be built and
distributed. Today there exists no such service that takes the viewers subjective
opinion into consideration. There have been extensive research on some connected
elds and issues but none with a unied solution to streaming adaptive bitrate
video over TCP with its particular behavior and eect caused on the streamed
video.
In this report we evaluated two dierent methods of prediction of QoE, Pause
Intensity based on the number of pauses and their length during playback, and
a Linear bitrate model based on the average bitrate quality and its standard deviation.
We also made a small user test with our streaming client software to evaluate
the two methods to decide which one is the most benecial to use. The test showed
that although one of the most irritating playback deficiencies is when pauses
occur, the linear bitrate model delivered the most accurate predictions. (Less)
Please use this url to cite or link to this publication:
author
Johansson, Stefan LU and Norén, Daniel
supervisor
organization
course
EITM01 20132
year
type
H2 - Master's Degree (Two Years)
subject
keywords
HTTP/TCP streaming, Adaptive steaming, HDS, no reference method, PI, QoE, Linear Bitrate.
language
English
id
5268249
date added to LUP
2015-04-14 16:23:53
date last changed
2015-04-29 07:55:26
@misc{5268249,
  abstract     = {This thesis investigates how to establish the relationship between OSI layer 7
parameters of video streaming and the QoE of the user, and to evaluate which
methods are most tting for the estimation of QoE. The project is made in 
cooperation with LTH and Acreo, and is a part of the Next generation over-the-top
 multimedia services (NOTTS) 7and the Eco system for Future Media Distribution
(EFRAIM) project.
The underlying techniques, which form the environment of our research of
estimating the QoE, is adaptive bitrate streaming over TCP. The purpose is to
investigate how a service, that provides a user with the means to benchmark the
received quality of the Over the top (OTT) streaming service, can be built and
distributed. Today there exists no such service that takes the viewers subjective
opinion into consideration. There have been extensive research on some connected
elds and issues but none with a unied solution to streaming adaptive bitrate
video over TCP with its particular behavior and eect caused on the streamed
video.
In this report we evaluated two dierent methods of prediction of QoE, Pause
Intensity based on the number of pauses and their length during playback, and
a Linear bitrate model based on the average bitrate quality and its standard deviation.
We also made a small user test with our streaming client software to evaluate 
the two methods to decide which one is the most benecial to use. The test showed 
that although one of the most irritating playback deficiencies is when pauses 
occur, the linear bitrate model delivered the most accurate predictions.},
  author       = {Johansson, Stefan and Norén, Daniel},
  keyword      = {HTTP/TCP streaming,Adaptive steaming,HDS,no reference method,PI,QoE,Linear Bitrate.},
  language     = {eng},
  note         = {Student Paper},
  title        = {Quality of experience for adaptive streaming using HTTP Dynamic Streaming},
  year         = {2015},
}