Improving Server and Client-Side Algorithms for Adaptive Streaming of Non-Immersive and Immersive Media

被引：1
|
作者：
Akcay, Mehmet N. [1 ]
机构：
[1] Ozyegin Univ, Istanbul, Turkey
来源：
MMSYS '21: PROCEEDINGS OF THE 2021 MULTIMEDIA SYSTEMS CONFERENCE | 2021年
关键词：
Adaptive streaming; rate adaptation; adaptive playback; ABR; DASH; HLS; VR; 360; low latency;
D O I：
10.1145/3458305.3478461
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
HTTP adaptive streaming is a technique widely used in the internet today to stream live and on-demand content. Server and client-side algorithms play an important role in achieving a better user experience in terms of metrics such as latency, rebufferings and rendering quality. In this doctoral study, we propose and evaluate a number of new algorithms for both non-immersive and immersive media in different settings ranging from low-latency live to on-demand streaming.
引用
收藏
页码：383 / 387
页数：5
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