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VP9: adjust trellis quant optimization RD parameters

Coding gain:
lowres  0.64%
midres  0.38%
hdres   0.58%

Change-Id: I233fa2a4b24bd1e15091a5f5ef6aff661f3f50ec

--- a/vp9/encoder/vp9_encodemb.c

+++ b/vp9/encoder/vp9_encodemb.c

@@ -62,8 +62,7 @@

   int16_t       qc;

 } vp9_token_state;

-// TODO(huisu): experiment to find optimal RD numbers.

-static const int plane_rd_mult[PLANE_TYPES] = { 4, 2 };

+static const int plane_rd_mult[REF_TYPES][PLANE_TYPES] ={ {10, 6}, {8, 7}, };

 #define UPDATE_RD_COST()\

 {\

@@ -110,7 +109,8 @@

   const int16_t *const scan = so->scan;

   const int16_t *const nb = so->neighbors;

   int next = eob, sz = 0;

-  int64_t rdmult = mb->rdmult * plane_rd_mult[type], rddiv = mb->rddiv;

+  const int64_t rdmult = (mb->rdmult * plane_rd_mult[ref][type]) >> 1;

+  const int64_t rddiv = mb->rddiv;

   int64_t rd_cost0, rd_cost1;

   int rate0, rate1, error0, error1;

   int16_t t0, t1;

@@ -126,9 +126,6 @@

   assert(eob <= default_eob);

   /* Now set up a Viterbi trellis to evaluate alternative roundings. */

-  if (!ref)

-    rdmult = (rdmult * 9) >> 4;

-

   /* Initialize the sentinel node of the trellis. */

   tokens[eob][0].rate = 0;

   tokens[eob][0].error = 0;