)]}'
{
  "commit": "b9bd708cbd9e7a484a2ca8ffc4dc21ba489fd405",
  "tree": "bb22d192ca4cb1513d511759509aeb1e584e8352",
  "parents": [
    "f88cd6c63e81e3424d985affc1689ca4bc99569a"
  ],
  "author": {
    "name": "Julio Barba",
    "email": "juliobbv@gmail.com",
    "time": "Tue Jan 27 21:57:14 2026 -0500"
  },
  "committer": {
    "name": "Wan-Teh Chang",
    "email": "wtc@google.com",
    "time": "Fri Feb 13 11:25:09 2026 -0800"
  },
  "message": "tune\u003dssimulacra2 efficiency tweaks\n\n- Adjusted QP -\u003e QM level formula. Small efficiency gains in\n  SSIMULACRA 2 scores (~0.2%) for several QP regions (e.g.\n  QP 25, QP 40-50).\n- Further increased chroma delta q boost for 4:2:0 chroma\n  subsampling mode. Similar average SSIMULACRA 2 scores, slightly\n  better 10th percentile scores.\n\nDaala subset1 was used to benchmark improvements.\n\nBug: aomedia:401234702\nChange-Id: I93b481abc1068e66fe4cdbebe05f7cad1c4c5fa7\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "965a746ae705fa387082c5f85146626440f80030",
      "old_mode": 33188,
      "old_path": "av1/common/quant_common.h",
      "new_id": "6dc82c0961aab78ef2ba98f78bccc8bca7afd3ea",
      "new_mode": 33188,
      "new_path": "av1/common/quant_common.h"
    },
    {
      "type": "modify",
      "old_id": "1673d5324d5f430dd93ac1c9531df4638acbc7ff",
      "old_mode": 33188,
      "old_path": "av1/encoder/av1_quantize.c",
      "new_id": "c0a1227a6c3385781219c6524c9be7063add3f19",
      "new_mode": 33188,
      "new_path": "av1/encoder/av1_quantize.c"
    }
  ]
}