)]}'
{
  "commit": "9d41313e4bd28d3c504c26079cbe4a499e7eceb7",
  "tree": "1dc38de0da1b8a410217322f6e13e9dcc9ca1523",
  "parents": [
    "a93c506034710a21a0a93a71fff71b794f3f9579"
  ],
  "author": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Thu May 01 15:14:39 2014 -0700"
  },
  "committer": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Mon Jun 30 09:36:23 2014 -0700"
  },
  "message": "Decide the partitioning threshold from the variance histogram\n\nBefore encoding a frame, calculate and store each 16x16 block\u0027s\nvariance of source difference between last and current frame.\nFind partitioning threshold T for the frame from its variance\nhistogram, and then use T to make partition decisions.\n\nComparing with fixed 16x16 partitioning, rtc set test showed an\noverall psnr gain of 3.242%, and ssim gain of 3.751%. The best\npsnr gain is 8.653%.\n\nThe overall encoding speed didn\u0027t change much. It got faster for\nsome clips(for example, 12% speedup for vidyo1), and a little\nslower for others.\n\nAlso, a minor modification was made in datarate unit test.\n\nChange-Id: Ie290743aa3814e83607b93831b667a2a49d0932c\n",
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