)]}'
{
  "commit": "d3c13e88fa10ff0e2d2e316f1f039a3732cb72de",
  "tree": "a84a765b883a742278d68925a77fc3d12749d86d",
  "parents": [
    "8494fbb7a47eae9463fe08488102421b254d62de"
  ],
  "author": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Tue Jan 02 17:52:56 2018 -0800"
  },
  "committer": {
    "name": "Yunqing Wang",
    "email": "yunqingwang@google.com",
    "time": "Thu Jan 04 04:15:31 2018 +0000"
  },
  "message": "Remove sample sorting in warped motion sample selection\n\nThe original sample selection process involves finding best 8 sorted\nsamples according to motion vector difference(MVD) between neighbor\nblock and current block, and then trimming samples. To reduce the\ncomplexity, use the current block width/height as the MVD threshold,\nand trim the samples without sorting.\n\nThis gives slightly less gain than the original method.\nAWCY result:\n         PSNR   PSNR HVS   SSIM\nAverage  -0.07   -0.13     -0.12\nBorg test result:\n             avg_psnr ovr_psnr ssim\ncam_lowres:  -0.112   -0.112  -0.180\nlowres:      -0.068   -0.073  -0.125\n\nChange-Id: Ic2f79a170441d5bcb04ea87dddf490ef7fbba8bc\n",
  "tree_diff": [
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      "new_path": "av1/common/warped_motion.h"
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