TY - GEN
T1 - Client-driven Adaptive Bitrate Techniques for Media Streaming over HTTP
T2 - 2020 IEEE International Conference on Electro Information Technology, EIT 2020
AU - Khan, Muhammad Jalal
AU - Harous, Saad
AU - Bentaleb, Abdelhak
N1 - Funding Information:
This research work is supported by UAEU Grant: 31T102-UPAR-1-2017.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Recently, we have seen a huge interest from academia and industry in HTTP adaptive streaming (HAS) solutions. To improve viewer experience, content providers deploy various HAS solutions that include a key element at the client side, the adaptive bitrate (ABR) logic. This client-driven technique aims to dynamically select an suitable bitrate and adapt to the available network conditions. In literature, many ABR techniques have been proposed. However, how the ABR works depends on the choice of content providers and network characteristics. In this paper, we review a set of heuristic-based client-driven ABR techniques for on-demand video delivery in HAS. We conducted a systematic mapping study to identify the primary studies related to bitrate selection in HAS. Based on the heuristic that ABR implements, we classified the client-driven ABR techniques into two categories: throughput-based, and buffer-based. A detailed analysis is given that will help researchers and practitioners for considering these ABR techniques in HAS.
AB - Recently, we have seen a huge interest from academia and industry in HTTP adaptive streaming (HAS) solutions. To improve viewer experience, content providers deploy various HAS solutions that include a key element at the client side, the adaptive bitrate (ABR) logic. This client-driven technique aims to dynamically select an suitable bitrate and adapt to the available network conditions. In literature, many ABR techniques have been proposed. However, how the ABR works depends on the choice of content providers and network characteristics. In this paper, we review a set of heuristic-based client-driven ABR techniques for on-demand video delivery in HAS. We conducted a systematic mapping study to identify the primary studies related to bitrate selection in HAS. Based on the heuristic that ABR implements, we classified the client-driven ABR techniques into two categories: throughput-based, and buffer-based. A detailed analysis is given that will help researchers and practitioners for considering these ABR techniques in HAS.
KW - ABR
KW - Adaptive bitrate
KW - DASH
KW - HTTP adaptive streaming
KW - adaptation logic
KW - bitrate selection
UR - http://www.scopus.com/inward/record.url?scp=85092512828&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092512828&partnerID=8YFLogxK
U2 - 10.1109/EIT48999.2020.9208253
DO - 10.1109/EIT48999.2020.9208253
M3 - Conference contribution
AN - SCOPUS:85092512828
T3 - IEEE International Conference on Electro Information Technology
SP - 53
EP - 59
BT - 2020 IEEE International Conference on Electro Information Technology, EIT 2020
PB - IEEE Computer Society
Y2 - 31 July 2020 through 1 August 2020
ER -