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Article detail · 2022

Catching the Moment With (LoL) (+) in Twitch-Like Low-Latency Live Streaming Platforms

Journal

IEEE Transactions on Multimedia

ISSN 1520-9210

YÖKSİS OpenAlex Open access · hybrid SJR Q1 JCR Q1 Citations 64 Top 10% Percentile 94.8% FWCI 3.9
Year
2022
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue IEEE TRANSACTIONS ON MULTIMEDIA
  • Catalog match (ISSN) IEEE Transactions on Multimedia
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

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.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

64 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. Abdelhak Bentaleb
  2. Mehmet N. Akçay
  3. May Lim
  4. ALİ CENGİZ BEĞEN ÖZYEĞİN ÜNİVERSİTESİ
  5. Roger Zimmermann