~/talk

Adventures with VP9

on YouTube 10m
Talkat Demuxed 2019 · 2019-10-23..10-24· [android, web-performance]

speakers

name:Haixia Shi
github:haixia-meta
name:Zen Xu
links:none on file

resources

video:https://youtu.be/jUFmLQHWqh8
slides:none on file

summary

Claim is VP9 yields about 20% BD-rate saving on Instagram UGC but server and Android fragmentation bite: software VP9 costs about 6x CPU versus H.264 so only popular videos get transcoded, rate control switches from CRF to target-bitrate and filters out a few percent of worse encodes, and a device capability framework aggregates model+OS data to pick system decoder or in‑app path. GPU-based color space conversion halves decode time (40ms → 20ms) and raises successful playback coverage.

AI-written summary · about

chapters (12)

  1. 0:00Intro
  2. 1:11WHY VP9? BETTER CODINC EFFICIENCY
  3. 1:51VP9 BITRATE CONTROL
  4. 3:22PRODUCE VP9 ENCODINCS AT SCALE
  5. 4:13INITIAL RESULT ON INSTAGRAM ANDROID
  6. 4:59THE FRAGMENTATION PROBLEM
  7. 5:30SYSTEM DECODERS
  8. 6:05IN-APP SOFTWARE DECODER
  9. 6:37DECODER CHOICES
  10. 7:00DEVICE CAPABILITY FRAMEWORK
  11. 8:10VPX DECODING TIME
  12. 9:10FASTER SOFTWARE DECODER

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