~/talk

Time Machine: Reconstructing perceptually, during playback, detail lost in encoding

Talkat Demuxed 2018 · 2018-10-17..10-18· [machine-learning, web-performance]
links:none on file
slides:none on file

Claims real-time perceptual reconstruction of high-frequency detail lost to lossy codecs by running a stack of GPU filters and a lightweight ML model during playback, upscaling lower-resolution streams and reintroducing grain and contrast to remove banding. Implements WebGL filters that estimate missing spectrum per-frame, reports measurable gains like VMAF +4–5 points on 720p→1080p examples and subjective improvement, and includes a working WebGL demo; performance is feasible on desktop but needs tuning for mobile and cannot recover severely truncated bitstreams.

AI-written summary · about

  1. 0:00Start
  2. 5:13Classic encoding artifacts
  3. 9:04Spatial Frequency Analysis 1
  4. 20:43Reconstruction Model 2
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