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MAE: More Adaptive Video Encoder for Consistent Low Latency in High-Quality Real-Time...

Talkat NSDI '26 · 2026-05-04..05-06· [web-performance, networking]
name:Hua Meng
links:none on file
links:none on file
links:none on file
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name:Zili Meng
links:none on file
slides:none on file

Claims a practical encoder-side fix: MAE tunes encoder internal parameters with a dynamic virtual buffer size and probes congestion-control internals to preempt bandwidth drops. Implementation requires no encoder, CC, or protocol changes and is CCA-agnostic. Emulation and real-world tests show MAE cuts stall rate by 86.2%, costs ≤4% bandwidth, and yields an 11% quality gain versus no-overshoot baselines; encoder-side delays dominate adaptation (≈77%) and commercial encoders may take >200 ms to react.

AI-written summary · about

  1. 0:00MAE and latency challenges
  2. 2:06Real-time pipelines
  3. 4:11Encoders bottleneck
  4. 7:46Virtual buffers for quality/latency
  5. 9:13Dynamic buffer sizing
  6. 11:02Congestion control for adaptation
  7. 13:55MAE performance results
  8. 15:20Key takeaways
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