Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media

Name: Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media
Author: Akçay, Mehmet Necmettin

İsim	Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media
Yazar	Akçay, Mehmet Necmettin
Basım Tarihi:	2021
Basım Yeri	- The ACM Digital Library,
Konu	Adaptive streaming, Rate adaptation, Adaptive playback, ABR, DASH, HLS, VR, 360, Low latency
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4503-8434-6
Kayıt Numarası	98cd4696-7618-41be-9d3d-5927fbd56de5
Tarih	2021
Örnek Metin	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.

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media

Yazar Akçay, Mehmet Necmettin

Basım Tarihi 2021

Basım Yeri - The ACM Digital Library,

Konu Adaptive streaming, Rate adaptation, Adaptive playback, ABR, DASH, HLS, VR, 360, Low latency

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4503-8434-6

Kayıt Numarası 98cd4696-7618-41be-9d3d-5927fbd56de5

Tarih 2021

Örnek Metin 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.