Catching the moment with LoL + in twitch-like low-latency live streaming platforms

Name: Catching the moment with LoL + in twitch-like low-latency live streaming platforms
Author: Bentaleb, A., Akçay, Mehmet Necmettin, Lim, M., Beğen, Ali Cengiz, Zimmermann, R.

İsim	Catching the moment with LoL + in twitch-like low-latency live streaming platforms
Yazar	Bentaleb, A., Akçay, Mehmet Necmettin, Lim, M., Beğen, Ali Cengiz, Zimmermann, R.
Basım Tarihi:	2022
Basım Yeri	- IEEE
Konu	ABR, Adaptive playback speed, Chunked transfer encoding, CMAF, DASH, HAS, Low latency, SOM
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1520-9210
Kayıt Numarası	a0bfd5d9-ca30-4c73-8bb1-2a8b4235bee7
Lokasyon	Computer Science
Tarih	2022
Örnek Metin	Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth prediction and rate adaptation algorithm tailored for live streaming applications that targeted an end-to-end latency of up to two seconds. While LoL was a significant step forward in multi-bitrate low-latency live streaming, further experimentation and testing showed that there was room for improvement in three areas. First, LoL used hard-coded parameters computed from an offline training process in the rate adaptation algorithm and this was seen as a significant barrier in LoL's wide deployment. Second, LoL's objective was to maximize a collective QoE function. Yet, certain use cases have specific objectives besides the singular QoE and this had to be accommodated. Third, the adaptive playback speed control failed to produce satisfying results in some scenarios. Our goal in this paper is to address these areas and make LoL sufficiently robust to deploy. We refer to the enhanced solution as LoL+ which has been integrated to the official dash.js player in v3.2.0.
DOI	10.1109/TMM.2021.3079288
Cilt	24

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Catching the moment with LoL + in twitch-like low-latency live streaming platforms

Yazar Bentaleb, A., Akçay, Mehmet Necmettin, Lim, M., Beğen, Ali Cengiz, Zimmermann, R.

Basım Tarihi 2022

Basım Yeri - IEEE

Konu ABR, Adaptive playback speed, Chunked transfer encoding, CMAF, DASH, HAS, Low latency, SOM

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1520-9210

Kayıt Numarası a0bfd5d9-ca30-4c73-8bb1-2a8b4235bee7

Lokasyon Computer Science

Tarih 2022

Örnek Metin Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth prediction and rate adaptation algorithm tailored for live streaming applications that targeted an end-to-end latency of up to two seconds. While LoL was a significant step forward in multi-bitrate low-latency live streaming, further experimentation and testing showed that there was room for improvement in three areas. First, LoL used hard-coded parameters computed from an offline training process in the rate adaptation algorithm and this was seen as a significant barrier in LoL's wide deployment. Second, LoL's objective was to maximize a collective QoE function. Yet, certain use cases have specific objectives besides the singular QoE and this had to be accommodated. Third, the adaptive playback speed control failed to produce satisfying results in some scenarios. Our goal in this paper is to address these areas and make LoL sufficiently robust to deploy. We refer to the enhanced solution as LoL+ which has been integrated to the official dash.js player in v3.2.0.

DOI 10.1109/TMM.2021.3079288

Cilt 24