A survey on bitrate adaptation schemes for streaming media over HTTP

Name: A survey on bitrate adaptation schemes for streaming media over HTTP
Author: Bentaleb, A., Taani, B., Beğen, Ali Cengiz, Timmerer, C., Zimmermann, R.

İsim	A survey on bitrate adaptation schemes for streaming media over HTTP
Yazar	Bentaleb, A., Taani, B., Beğen, Ali Cengiz, Timmerer, C., Zimmermann, R.
Basım Tarihi:	2019
Basım Yeri	- IEEE
Konu	Bitrate adaptation, HAS, DASH, Adaptive video streaming, ABR schemes
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1553-877X
Kayıt Numarası	0fede692-6e31-488f-80ca-0d4c01826426
Lokasyon	Computer Science
Tarih	2019
Notlar	National Natural Science Foundation of China (NSFC) ; National University of Singapore (Suzhou) Research Institute ; Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming Project "PROMETHEUS"
Örnek Metin	In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive streaming (HAS). As a key distinction from other streaming approaches, the bitrate adaptation algorithms in HAS are chiefly executed at each client, i.e., in a distributed manner. The objective of these algorithms is to ensure a high quality of experience (QoE) for viewers in the presence of bandwidth fluctuations due to factors like signal strength, network congestion, network reconvergence events, etc. While such fluctuations are common in public Internet, they can also occur in home networksor even managed networks where there is often admission control and QoS tools. Bitrate adaptation algorithms may take factors like bandwidth estimations, playback buffer fullness, device features, viewer preferences, and content features into account, albeit with different weights. Since the viewer's QoE needs to be determined in real-time during playback, objective metrics are generally used including number of buffer stalls, duration of startup delay, frequency and amount of quality oscillations, and video instability. By design, the standards for HAS do not mandate any particular adaptation algorithm, leaving it to system builders to innovate and implement their own method. This survey provides an overview of the different methods proposed over the last several years.
DOI	10.1109/COMST.2018.2862938
Cilt	21

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A survey on bitrate adaptation schemes for streaming media over HTTP

Yazar Bentaleb, A., Taani, B., Beğen, Ali Cengiz, Timmerer, C., Zimmermann, R.

Basım Tarihi 2019

Basım Yeri - IEEE

Konu Bitrate adaptation, HAS, DASH, Adaptive video streaming, ABR schemes

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1553-877X

Kayıt Numarası 0fede692-6e31-488f-80ca-0d4c01826426

Lokasyon Computer Science

Tarih 2019

Notlar National Natural Science Foundation of China (NSFC) ; National University of Singapore (Suzhou) Research Institute ; Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming Project "PROMETHEUS"

Örnek Metin In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive streaming (HAS). As a key distinction from other streaming approaches, the bitrate adaptation algorithms in HAS are chiefly executed at each client, i.e., in a distributed manner. The objective of these algorithms is to ensure a high quality of experience (QoE) for viewers in the presence of bandwidth fluctuations due to factors like signal strength, network congestion, network reconvergence events, etc. While such fluctuations are common in public Internet, they can also occur in home networksor even managed networks where there is often admission control and QoS tools. Bitrate adaptation algorithms may take factors like bandwidth estimations, playback buffer fullness, device features, viewer preferences, and content features into account, albeit with different weights. Since the viewer's QoE needs to be determined in real-time during playback, objective metrics are generally used including number of buffer stalls, duration of startup delay, frequency and amount of quality oscillations, and video instability. By design, the standards for HAS do not mandate any particular adaptation algorithm, leaving it to system builders to innovate and implement their own method. This survey provides an overview of the different methods proposed over the last several years.

DOI 10.1109/COMST.2018.2862938

Cilt 21