A Frame Rate Optimization Framework For Improving Continuity In Video Streaming
Evan Tan, Chun Tung Chou

TL;DR
This paper presents a frame rate optimization framework for video streaming that reduces prebuffering needs and maintains continuity by jointly adjusting encoder and decoder frame rates using Lyapunov optimization, resulting in lower distortion and delay.
Contribution
It introduces a novel joint adjustment model with virtual buffers and Lyapunov optimization for improved video streaming quality and latency management.
Findings
Significantly reduces prebuffering requirements.
Maintains low playout distortion.
Provides a better delay-quality tradeoff.
Abstract
This paper aims to reduce the prebuffering requirements, while maintaining continuity, for video streaming. Current approaches do this by making use of adaptive media playout (AMP) to reduce the playout rate. However, this introduces playout distortion to the viewers and increases the viewing latency. We approach this by proposing a frame rate optimization framework that adjusts both the encoder frame generation rate and the decoder playout frame rate. Firstly, we model this problem as the joint adjustment of the encoder frame generation interval and the decoder playout frame interval. This model is used with a discontinuity penalty virtual buffer to track the accumulated difference between the receiving frame interval and the playout frame interval. We then apply Lyapunov optimization to the model to systematically derive a pair of decoupled optimization policies. We show that the…
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Taxonomy
TopicsVideo Coding and Compression Technologies · Image and Video Quality Assessment · Advanced Wireless Network Optimization
