Adaptive Bitrate (ABR) Streaming: Concepts, Protocols, Challenges, and Algorithms

Adaptive Bitrate (ABR) streaming dynamically selects among multiple video representations using protocols like HLS, DASH, and CMAF, leveraging bandwidth predictions and buffer metrics to balance quality and re‑buffering, while evolving through hybrid, buffer‑based, rate‑based, and machine‑learning algorithms for optimal user experience.

ABRMPEG-DASHQoE

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Adaptive Bitrate (ABR) Streaming: Concepts, Protocols, Challenges, and Algorithms

DaTaobao Tech

Apr 13, 2022 · Artificial Intelligence

Machine‑Learning Based Bandwidth Prediction and Adaptive Streaming for Taobao Live: Concerto, OnRL, and Loki

Alibaba’s Taobao Live team replaced rule‑based bandwidth estimators with three machine‑learning solutions—Concerto, OnRL, and Loki—trained on over a million hours of global live‑stream data, achieving up to 13% throughput gain, threefold stall reduction, and up to 44% lower 95th‑percentile stalls, now deployed commercially.

Real-time VideoReinforcement Learningadaptive bitrate

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Machine‑Learning Based Bandwidth Prediction and Adaptive Streaming for Taobao Live: Concerto, OnRL, and Loki

Hulu Beijing

Apr 16, 2019 · Artificial Intelligence

How Deep Learning Transforms Network Bandwidth Prediction: From RNN to CNN‑RNN Hybrids

This article explores how deep learning techniques such as RNN, LSTM, 3D‑CNN, and CNN‑RNN hybrids can be applied to predict network bandwidth and traffic, comparing traditional time‑series methods with modern AI approaches and highlighting the potential of graph neural networks for future improvements.

CNNDeep LearningNetwork Traffic

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How Deep Learning Transforms Network Bandwidth Prediction: From RNN to CNN‑RNN Hybrids