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Now showing items 11-20 of 20
Want to play DASH?: a game theoretic approach for adaptive streaming over HTTP
(Association for Computing Machinery, Inc, 2018-06-12)
In streaming media, it is imperative to deliver a good viewer experience to preserve customer loyalty. Prior research has shown that this is rather difficult when shared Internet resources struggle to meet the demand from ...
Data-driven bandwidth prediction models and automated model selection for low latency
(IEEE, 2021)
Today's HTTP adaptive streaming solutions use a variety of algorithms to measure the available network bandwidth and predict its future values. Bandwidth prediction, which is already a difficult task, must be more accurate ...
Adaptive streaming of content-aware-encoded videos in dash.js
(IEEE, 2022-05)
In Hypertext Transfer Protocol (HTTP) adaptive streaming, the client makes rate adaptation decisions based on the measured network bandwidth and buffer fullness. This simplifies the adaptation logic; however, it often ...
The benefits of server hinting when DASHing or HLSing
(ACM, 2022-03-17)
Streaming clients almost always compete for the available bandwidth and server capacity. Not every client's playback buffer conditions will be the same, though, nor should be the priority with which the server processes ...
Catching the moment with LoL + in twitch-like low-latency live streaming platforms
(IEEE, 2022)
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. ...
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 ...
When they go high, we go low: low-latency live streaming in dash.js with LoL
(The ACM Digital Library, 2020-05)
Live streaming remains a challenge in the adaptive streaming space due to the stringent requirements for not just quality and rebuffering, but also latency. Many solutions have been proposed to tackle streaming in general, ...
Bandwidth prediction in low-latency chunked streaming
(The ACM Digital Library, 2019-06)
HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, ...
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