Search
Now showing items 1-3 of 3
Bandwidth prediction in low-latency media transport
(ACM, 2023-06-16)
Designing a robust bandwidth prediction algorithm for low-latency media transport that can quickly adapt to varying network conditions is challenging. In this paper, we present the working principles of a hybrid bandwidth ...
Meta reinforcement learning for rate adaptation
(IEEE, 2023)
Adaptive bitrate (ABR) schemes enable streaming clients to adapt to time-varying network/device conditions to achieve a stall-free viewing experience. Most ABR schemes use manually tuned heuristics or learning-based methods. ...
BoB: Bandwidth prediction for real-time communications using heuristic and reinforcement learning
(IEEE, 2023)
Bandwidth prediction is critical in any Real-time Communication (RTC) service or application. This component decides how much media data can be sent in real time. Subsequently, the video and audio encoder dynamically adapts ...
Share this page