Towards Agile and Smooth Video Adaptation in Dynamic HTTP Streaming

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Provided by: Association for Computing Machinery
Topic: Networking
Format: PDF
Dynamic Adaptive Streaming over HTTP (DASH) is widely deployed on the Internet for live and on-demand video streaming services. Video adaptation algorithms in existing DASH systems are either too sluggish to respond to congestion level shifts or too sensitive to short-term network bandwidth variations. Both degrade user video experience. In this paper, the authors formally study the responsiveness and smoothness trade-off in DASH through analysis and experiments. They show that client-side buffered video time is a good feedback signal to guide video adaptation. They then propose novel video rate control algorithms that balance the needs for video rate smoothness and high bandwidth utilization. They show that a small video rate margin can lead to much improved smoothness in video rate and buffer size.
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