)]}'
{
  "commit": "60456083e91f7a95c12309e22644c5c32bcbbb3a",
  "tree": "996ae3c2973ee58b61b36d6e86104a20cae181e1",
  "parents": [
    "9f5811c2da890c8bd675ed3112692a43633ff003"
  ],
  "author": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Fri May 10 18:46:43 2013 -0700"
  },
  "committer": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Mon May 13 12:14:09 2013 -0700"
  },
  "message": "Do joint motion search iteratively\n\nAllow motion search multiple times iteratively, and break out\nthe loop if this search couldn\u0027t find better motion vectors.\nLimit the maximum number of search to 2.\n\nTests results:\n1. stdhd set: 0.311%(overall psnr); 0.346%(ssim).\npositive gain on 10 out of 16 clips(best: 2.746% on sunflower;\nworst: -0.434% on old_town_cross).\n2. derf set: 0.016%(overall psnr); 0.062%(ssim).\npositive gain on half of the clips(best: 0.499% on bowing;\nworst: -0.387 on city).\n\nChange-Id: Ibf0a51776d4caf7707be0586346db08128117559\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "24b81c025ae9b3025d70af7e95d0a61e7411dc8a",
      "old_mode": 33188,
      "old_path": "vp9/encoder/vp9_rdopt.c",
      "new_id": "ef8cb2babe04e0365fbaeb33c57e0b6c3d0c616c",
      "new_mode": 33188,
      "new_path": "vp9/encoder/vp9_rdopt.c"
    }
  ]
}
