Online learning for low-latency adaptive streaming

Theo Karagkioules
Theo Karagkioules
Dirk Griffioen
Dirk Griffioen
Arjen Wagenaar
Arjen Wagenaar

MMSys '20: 11th ACM Multimedia Systems Conference Istanbul Turkey June, 2020, pp. 315-320, 2020.

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Abstract:

Achieving low-latency is paramount for live streaming scenarios, that are now-days becoming increasingly popular. In this paper, we propose a novel algorithm for bitrate adaptation in HTTP Adaptive Streaming (HAS), based on Online Convex Optimization (OCO). The proposed algorithm, named Learn2Adapt-LowLatency (L2A-LL), is shown to provide...More

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