A Hybrid Control Scheme for Adaptive Live Streaming
October 14, 2019 Β· Declared Dead Β· π ACM Multimedia
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Authors
Huan Peng, Yuan Zhang, Yongbei Yang, Jinyao Yan
arXiv ID
1910.06043
Category
cs.MM: Multimedia
Citations
15
Venue
ACM Multimedia
Last Checked
3 months ago
Abstract
The live streaming is more challenging than on-demand streaming, because the low latency is also a strong requirement in addition to the trade-off between video quality and jitters in playback. To balance several inherently conflicting performance metrics and improve the overall quality of experience (QoE), many adaptation schemes have been proposed. Bitrate adaptation is one of the major solutions for video streaming under time-varying network conditions, which works even better combining with some latency control methods, such as adaptive playback rate control and frame dropping. However, it still remains a challenging problem to design an algorithm to combine these adaptation schemes together. To tackle this problem, we propose a hybrid control scheme for adaptive live streaming, namely HYSA, based on heuristic playback rate control, latency-constrained bitrate control and QoE-oriented adaptive frame dropping. The proposed scheme utilizes Kaufman's Adaptive Moving Average (KAMA) to predict segment bitrates for better rate decisions. Extensive simulations demonstrate that HYSA outperforms most of the existing adaptation schemes on overall QoE.
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