Proceedings ArticleDOI
Buffer-based bitrate adaptation for adaptive HTTP streaming
Hung T. Le,Duc V. Nguyen,Nam Pham Ngoc,Anh T. Pham,Truong Cong Thang +4 more
- pp 33-38
TLDR
A novel rate-adaptation method on client side is proposed, which allows clients to estimate buffer level in the future, and thus achieving a balance between the need for high video quality and buffer stability and performs well under varying network conditions.Abstract:
Live and on-demand video streaming has recently contributed a significant part of the Internet traffic. In order to guarantee the best possible user experience, multimedia service is required to support large fluctuations in different network conditions. One of the cost effective means for multimedia delivery nowadays is HTTP streaming. The key challenge of this technology is how to change adaptively video bitrates according to network variation and client buffer while bestowing upon users the best possible video quality. In this paper, we propose a novel rate-adaptation method on client side, which allows clients to estimate buffer level in the future, and thus achieving a balance between the need for high video quality and buffer stability. The experiments show that our method performs well under varying network conditions.read more
Citations
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Journal ArticleDOI
An Evaluation of Bitrate Adaptation Methods for HTTP Live Streaming
TL;DR: This paper investigates typical adaptation methods in the context of live video streaming and finds that the perceptual impact depends not only on adaptation method but also on the content itself.
Journal ArticleDOI
Adaptive Bitrate Selection: A Survey
TL;DR: This paper presents a comprehensive survey of the most significant research activities in the area of client-side HTTP-based adaptive video streaming, decomposing the ABR module into three subcomponents, namely: resource estimation function, chunk request scheduling, and adaptation module.
Journal ArticleDOI
QoE-Based Low-Delay Live Streaming Using Throughput Predictions
TL;DR: This work introduces an adaptation algorithm for HTTP-based live streaming called LOLYPOP (short for low-latency prediction-based adaptation), which is designed to operate with a transport latency of a few seconds, and leverages Transmission Control Protocol throughput predictions on multiple time scales.
Proceedings ArticleDOI
ABMA+: lightweight and efficient algorithm for HTTP adaptive streaming
TL;DR: A new Adaptation & Buffer Management Algorithm, called ABMA+, is proposed, which selects video representation based on the predicted probability of video freezing and uses the pre-computed playout buffer map to select the maximum video representation which guarantee smooth content playout.
Journal ArticleDOI
A Video Bitrate Adaptation and Prediction Mechanism for HTTP Adaptive Streaming
TL;DR: A video bitrate adaptation and prediction mechanism based on Fuzzy logic for HAS players, which takes into consideration the estimate of available network bandwidth as well as the predicted buffer occupancy level in order to proactively and intelligently respond to current conditions is proposed.
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