)]}'
{
  "commit": "3395f9a10eea586dfa2a30bc796fdd12d39185c0",
  "tree": "dfa556ef8932f1b332fc81e860c5c831a3dc3b86",
  "parents": [
    "540542caa230b0e9bd8d7b0ac6a63bcbb5571164"
  ],
  "author": {
    "name": "Julio Barba",
    "email": "juliobbv@gmail.com",
    "time": "Wed Oct 23 23:15:22 2024 -0400"
  },
  "committer": {
    "name": "Wan-Teh Chang",
    "email": "wtc@google.com",
    "time": "Fri Oct 25 22:10:59 2024 +0000"
  },
  "message": "Introduce qindex -\u003e QM level formula tuned for allintra mode\n\nQMs help increase visual quality by effectively allocating more\nbits towards encoding low and mid frequencies for a given file size,\nwhich helps retain overall texture integrity, avoiding cases where\nlocal features could collapse into flat patches or \u0027thin\u0027 high-freq\nbasis patterns.\n\nThe formula was empirically derived by encoding the CID22 validation\ntestset for each QP/QM tuple, and building a convex hull that\nmaximizes SSIMU2 scores, and a final subjective visual quality pass\nas a sanity check.\n\nApproximate BD-Rate gains over enable-qm\u003d0 - cpu-used\u003d6 (subset1):\n- SSIMU2 60: -4.5%\n- SSIMU2 70: -3.9%\n- SSIMU2 80: -3.4%\n- SSIMU2 90: -6.6%\n\nBug: aomedia:375221136\nChange-Id: I29721cad07ee273a56c5d5d4b7e929301083a117\n",
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