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Automated objective and subjective evaluation of HTTP adaptive streaming systems

Title	Automated objective and subjective evaluation of HTTP adaptive streaming systems
Author	Timmerer, C., Zabrovskiy, A., Beğen, Ali Cengiz
Publication Date:	2018-06-26
Publication Place	- IEEE
Subject	HTTP adaptive streaming, Objective evaluation, Subjective evaluation, MPEG DASH
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-1-5386-1857-8
Record ID	12e30718-3b39-4363-9238-4af9ee304aff
Library Location	Computer Science
Date	2018-06-26
Notes	Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS
Sample Text	Streaming audio and video content currently accounts for the majority of the internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players and adaptation algorithms showing different behavior but lack a common framework for both objective and subjective evaluation of such systems. This paper aims to close this gap by (i) proposing such a framework, (ii) describing its architecture, (iii) providing an example evaluation, (iv) and discussing open issues.
DOI	10.1109/MIPR.2018.00080

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Özyeğin University

Automated objective and subjective evaluation of HTTP adaptive streaming systems

Author Timmerer, C., Zabrovskiy, A., Beğen, Ali Cengiz

Publication Date 2018-06-26

Publication Place - IEEE

Subject HTTP adaptive streaming, Objective evaluation, Subjective evaluation, MPEG DASH

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-1-5386-1857-8

Record ID 12e30718-3b39-4363-9238-4af9ee304aff

Library Location Computer Science

Date 2018-06-26

Notes Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS

Sample Text Streaming audio and video content currently accounts for the majority of the internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players and adaptation algorithms showing different behavior but lack a common framework for both objective and subjective evaluation of such systems. This paper aims to close this gap by (i) proposing such a framework, (ii) describing its architecture, (iii) providing an example evaluation, (iv) and discussing open issues.

DOI 10.1109/MIPR.2018.00080