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A survey on bitrate adaptation schemes for streaming media over HTTP

Title	A survey on bitrate adaptation schemes for streaming media over HTTP
Author	Bentaleb, A., Taani, B., Beğen, Ali Cengiz, Timmerer, C., Zimmermann, R.
Publication Date:	2019
Publication Place	- IEEE
Subject	Bitrate adaptation, HAS, DASH, Adaptive video streaming, ABR schemes
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1553-877X
Record ID	0fede692-6e31-488f-80ca-0d4c01826426
Library Location	Computer Science
Date	2019
Notes	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"
Sample Text	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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Özyeğin University

A survey on bitrate adaptation schemes for streaming media over HTTP

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

Publication Date 2019

Publication Place - IEEE

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

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1553-877X

Record ID 0fede692-6e31-488f-80ca-0d4c01826426

Library Location Computer Science

Date 2019

Notes 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"

Sample Text 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