)]}'
{
  "commit": "cea1c66479e32792fba4c927efd859aa0beaea17",
  "tree": "ab354a763ddcdce5f3a7b234f6a7374a311815d5",
  "parents": [
    "23a7cb3db94d00a9672843056479523d603de394"
  ],
  "author": {
    "name": "Cheng Chen",
    "email": "chengchen@google.com",
    "time": "Tue Apr 06 23:02:51 2021 -0700"
  },
  "committer": {
    "name": "Cheng Chen",
    "email": "chengchen@google.com",
    "time": "Tue Apr 13 17:18:08 2021 +0000"
  },
  "message": "Temporal filtering: apply filtering adaptively based on qindex\n\nAt low bit rates, a stronger filtering reduces more noise and leads\nto a higher rate saving.\n\nAt high bit rates, a weaker filtering is demanded to faithfully\nencode the frame at a high quality.\n\nHere, we adjust smoothing weight adaptively according to qindex, to\napply a slightly stronger filtering for low bit rates.\n\nPerformance on 150 frames, vbr mode:\nspeed_4    Ovr_psnr      ssim      vmaf_neg\nLowres     -0.206       -0.367     -0.549\nUgc360p    -0.329       -0.379     -0.236\nUgc480p    -0.494       -0.809     -1.171\nHdres      -0.293       -0.344     -0.237\nHdres2     -0.489       -0.503      0.091\n\nspeed_1    Ovr_psnr      ssim      vmaf_neg\nLowres     -0.152       -0.269     -0.377\nUgc360p    -0.257       -0.249     -0.109\nUgc480p    -0.574       -0.890     -0.991\nHdres      -0.335       -0.421     -0.217\nHdres2     -0.374       -0.347      0.036\n\nSTATS_CHANGED\n\nChange-Id: Iaff961ef3a7fcb729be8d880de14f363a8e6ead9\n",
  "tree_diff": [
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