Automated objective and subjective evaluation of HTTP adaptive streaming systems

Name: Automated objective and subjective evaluation of HTTP adaptive streaming systems
Author: Timmerer, C., Zabrovskiy, A., Beğen, Ali Cengiz

İsim	Automated objective and subjective evaluation of HTTP adaptive streaming systems
Yazar	Timmerer, C., Zabrovskiy, A., Beğen, Ali Cengiz
Basım Tarihi:	2018-06-26
Basım Yeri	- IEEE
Konu	HTTP adaptive streaming, Objective evaluation, Subjective evaluation, MPEG DASH
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-5386-1857-8
Kayıt Numarası	12e30718-3b39-4363-9238-4af9ee304aff
Lokasyon	Computer Science
Tarih	2018-06-26
Notlar	Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS
Örnek Metin	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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Automated objective and subjective evaluation of HTTP adaptive streaming systems

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

Basım Tarihi 2018-06-26

Basım Yeri - IEEE

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

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-5386-1857-8

Kayıt Numarası 12e30718-3b39-4363-9238-4af9ee304aff

Lokasyon Computer Science

Tarih 2018-06-26

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

Örnek Metin 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