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Streaming at 250 kbps: raise your expectations

Talkat Demuxed 2017 · on Thursday, 2017-10-05· [web-performance, machine-learning]
links:none on file
slides:none on file

Shot-based Dynamic optimizer picks QP and resolution per shot using Netflix’s VMF quality metric and a convex-hull of pre-encodes, delivering 28–37% codec-local bitrate wins and about 55% less bits for the same perceptual quality at mobile rates like 250 kbps. Implementation scales by pruning redundant operating points (1.2 million pre-encodes drops by an order of magnitude), adding checkpoints, using an internal spot market (≈12,000 instances), and encoding 18.5M shots (~1.5M CPU days) with average wall-clock ~7 days per movie.

AI-written summary · about

  1. 0:00Start
  2. 2:02Optimal Video Encoding a Scale
  3. 4:20Dynamic optimizer framework
  4. 5:29Convex hull of optimal pre-encodes
  5. 6:15Find optimal path
  6. 7:48Dynamic optimizer improvements
  7. 8:40Parallel Encoding
  8. 10:27Implementation challenges
  9. 10:52Number of encodes
  10. 11:44Number of tasks
  11. 12:29Internal Spot market
  12. 18:42Summary
  13. 19:14Teaser: Codec Comparison
  14. 19:50Video Algorithms
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