)]}'
{
  "commit": "b9370acd43ec6f9a2429b13d4e5d9c1ca44e8cef",
  "tree": "97073fa6fda6453900ea7dff7e67f35b18f631b3",
  "parents": [
    "561d0af0e39037fdebc2487214d790978ad7f0b4"
  ],
  "author": {
    "name": "Debargha Mukherjee",
    "email": "debargha@google.com",
    "time": "Thu Mar 23 06:10:18 2017 -0700"
  },
  "committer": {
    "name": "Debargha Mukherjee",
    "email": "debargha@google.com",
    "time": "Thu Mar 23 21:55:00 2017 +0000"
  },
  "message": "Simplify warped motion estimation to use 2d ls\n\nUse a simpler warped motion estimation scheme that uses a 2d\nleast squares problem, where the underlying assumption\napplied is that the motion vector computed at the center\nof the current block using the warp model is exactly the same\nas the motion vector transmitted for the block.\n\nThe main motivation is to reduce the complexity of the\nestimation process.\n\nCoding efficiency drop is about +0.25% on lowres:\n-1.152% (from -1.396%).\n\nAlso, removes code for non-approximate division and bakes\napproximate divison in.\n\nChange-Id: Ie4ad8e32593b09f7e1920c70b0b92545236ddc54\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "aeba5468509116907c8cf9cbd08bbf37d8ca4c08",
      "old_mode": 33188,
      "old_path": "av1/common/warped_motion.c",
      "new_id": "29b26ed34c622fade88b2f143b4db8d4157c829f",
      "new_mode": 33188,
      "new_path": "av1/common/warped_motion.c"
    }
  ]
}