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Proceedings ArticleDOI

Buffer-based bitrate adaptation for adaptive HTTP streaming

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.

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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.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

Rate adaptation for adaptive HTTP streaming

TL;DR: A receiver-driven rate adaptation method for HTTP/TCP streaming that deploys a step-wise increase/ aggressive decrease method to switch up/down between the different representations of the content that are encoded at different bitrates is presented.
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