/* * Copyright (c) 2010 The WebM project authors. All Rights Reserved. * * Use of this source code is governed by a BSD-style license * that can be found in the LICENSE file in the root of the source * tree. An additional intellectual property rights grant can be found * in the file PATENTS. All contributing project authors may * be found in the AUTHORS file in the root of the source tree.
*/
staticvoid build_dcblock(MACROBLOCK *x) { short *src_diff_ptr = &x->src_diff[384]; int i;
for (i = 0; i < 16; ++i) {
src_diff_ptr[i] = x->coeff[i * 16];
}
}
void vp8_transform_mbuv(MACROBLOCK *x) { int i;
for (i = 16; i < 24; i += 2) {
x->short_fdct8x4(&x->block[i].src_diff[0], &x->block[i].coeff[0], 16);
}
}
void vp8_transform_intra_mby(MACROBLOCK *x) { int i;
for (i = 0; i < 16; i += 2) {
x->short_fdct8x4(&x->block[i].src_diff[0], &x->block[i].coeff[0], 32);
}
/* build dc block from 16 y dc values */
build_dcblock(x);
/* do 2nd order transform on the dc block */
x->short_walsh4x4(&x->block[24].src_diff[0], &x->block[24].coeff[0], 8);
}
staticvoid transform_mb(MACROBLOCK *x) { int i;
for (i = 0; i < 16; i += 2) {
x->short_fdct8x4(&x->block[i].src_diff[0], &x->block[i].coeff[0], 32);
}
/* build dc block from 16 y dc values */ if (x->e_mbd.mode_info_context->mbmi.mode != SPLITMV) build_dcblock(x);
for (i = 16; i < 24; i += 2) {
x->short_fdct8x4(&x->block[i].src_diff[0], &x->block[i].coeff[0], 16);
}
/* do 2nd order transform on the dc block */ if (x->e_mbd.mode_info_context->mbmi.mode != SPLITMV) {
x->short_walsh4x4(&x->block[24].src_diff[0], &x->block[24].coeff[0], 8);
}
}
staticvoid transform_mby(MACROBLOCK *x) { int i;
for (i = 0; i < 16; i += 2) {
x->short_fdct8x4(&x->block[i].src_diff[0], &x->block[i].coeff[0], 32);
}
/* build dc block from 16 y dc values */ if (x->e_mbd.mode_info_context->mbmi.mode != SPLITMV) {
build_dcblock(x);
x->short_walsh4x4(&x->block[24].src_diff[0], &x->block[24].coeff[0], 8);
}
}
staticvoid optimize_b(MACROBLOCK *mb, int ib, int type, ENTROPY_CONTEXT *a,
ENTROPY_CONTEXT *l) {
BLOCK *b;
BLOCKD *d;
vp8_token_state tokens[17][2]; unsigned best_mask[2]; constshort *dequant_ptr; constshort *coeff_ptr; short *qcoeff_ptr; short *dqcoeff_ptr; int eob; int i0; int rc; int x; int sz = 0; int next; int rdmult; int rddiv; int final_eob; int rd_cost0; int rd_cost1; int rate0; int rate1; int error0; int error1; int t0; int t1; int best; int band; int pt; int i; int err_mult = plane_rd_mult[type];
/* Now set up a Viterbi trellis to evaluate alternative roundings. */
rdmult = mb->rdmult * err_mult; if (mb->e_mbd.mode_info_context->mbmi.ref_frame == INTRA_FRAME) {
rdmult = (rdmult * 9) >> 4;
}
rddiv = mb->rddiv;
best_mask[0] = best_mask[1] = 0; /* Initialize the sentinel node of the trellis. */
tokens[eob][0].rate = 0;
tokens[eob][0].error = 0;
tokens[eob][0].next = 16;
tokens[eob][0].token = DCT_EOB_TOKEN;
tokens[eob][0].qc = 0;
*(tokens[eob] + 1) = *(tokens[eob] + 0);
next = eob; for (i = eob; i-- > i0;) { int base_bits; int d2; int dx;
rc = vp8_default_zig_zag1d[i];
x = qcoeff_ptr[rc]; /* Only add a trellis state for non-zero coefficients. */ if (x) { int shortcut = 0;
error0 = tokens[next][0].error;
error1 = tokens[next][1].error; /* Evaluate the first possibility for this state. */
rate0 = tokens[next][0].rate;
rate1 = tokens[next][1].rate;
t0 = (vp8_dct_value_tokens_ptr + x)->Token; /* Consider both possible successor states. */ if (next < 16) {
band = vp8_coef_bands[i + 1];
pt = vp8_prev_token_class[t0];
rate0 += mb->token_costs[type][band][pt][tokens[next][0].token];
rate1 += mb->token_costs[type][band][pt][tokens[next][1].token];
}
rd_cost0 = RDCOST(rdmult, rddiv, rate0, error0);
rd_cost1 = RDCOST(rdmult, rddiv, rate1, error1); if (rd_cost0 == rd_cost1) {
rd_cost0 = RDTRUNC(rdmult, rddiv, rate0, error0);
rd_cost1 = RDTRUNC(rdmult, rddiv, rate1, error1);
} /* And pick the best. */
best = rd_cost1 < rd_cost0;
base_bits = *(vp8_dct_value_cost_ptr + x);
dx = dqcoeff_ptr[rc] - coeff_ptr[rc];
d2 = dx * dx;
tokens[i][0].rate = base_bits + (best ? rate1 : rate0);
tokens[i][0].error = d2 + (best ? error1 : error0);
tokens[i][0].next = next;
tokens[i][0].token = t0;
tokens[i][0].qc = x;
best_mask[0] |= best << i; /* Evaluate the second possibility for this state. */
rate0 = tokens[next][0].rate;
rate1 = tokens[next][1].rate;
/* Consider both possible successor states. */ if (!x) { /* If we reduced this coefficient to zero, check to see if * we need to move the EOB back here.
*/
t0 =
tokens[next][0].token == DCT_EOB_TOKEN ? DCT_EOB_TOKEN : ZERO_TOKEN;
t1 =
tokens[next][1].token == DCT_EOB_TOKEN ? DCT_EOB_TOKEN : ZERO_TOKEN;
} else {
t0 = t1 = (vp8_dct_value_tokens_ptr + x)->Token;
} if (next < 16) {
band = vp8_coef_bands[i + 1]; if (t0 != DCT_EOB_TOKEN) {
pt = vp8_prev_token_class[t0];
rate0 += mb->token_costs[type][band][pt][tokens[next][0].token];
} if (t1 != DCT_EOB_TOKEN) {
pt = vp8_prev_token_class[t1];
rate1 += mb->token_costs[type][band][pt][tokens[next][1].token];
}
}
if (shortcut) {
dx -= (dequant_ptr[rc] + sz) ^ sz;
d2 = dx * dx;
}
tokens[i][1].rate = base_bits + (best ? rate1 : rate0);
tokens[i][1].error = d2 + (best ? error1 : error0);
tokens[i][1].next = next;
tokens[i][1].token = best ? t1 : t0;
tokens[i][1].qc = x;
best_mask[1] |= best << i; /* Finally, make this the new head of the trellis. */
next = i;
} /* There's no choice to make for a zero coefficient, so we don't * add a new trellis node, but we do need to update the costs.
*/ else {
band = vp8_coef_bands[i + 1];
t0 = tokens[next][0].token;
t1 = tokens[next][1].token; /* Update the cost of each path if we're past the EOB token. */ if (t0 != DCT_EOB_TOKEN) {
tokens[next][0].rate += mb->token_costs[type][band][0][t0];
tokens[next][0].token = ZERO_TOKEN;
} if (t1 != DCT_EOB_TOKEN) {
tokens[next][1].rate += mb->token_costs[type][band][0][t1];
tokens[next][1].token = ZERO_TOKEN;
} /* Don't update next, because we didn't add a new node. */
}
}
/* Now pick the best path through the whole trellis. */
band = vp8_coef_bands[i + 1];
VP8_COMBINEENTROPYCONTEXTS(pt, *a, *l);
rate0 = tokens[next][0].rate;
rate1 = tokens[next][1].rate;
error0 = tokens[next][0].error;
error1 = tokens[next][1].error;
t0 = tokens[next][0].token;
t1 = tokens[next][1].token;
rate0 += mb->token_costs[type][band][pt][t0];
rate1 += mb->token_costs[type][band][pt][t1];
rd_cost0 = RDCOST(rdmult, rddiv, rate0, error0);
rd_cost1 = RDCOST(rdmult, rddiv, rate1, error1); if (rd_cost0 == rd_cost1) {
rd_cost0 = RDTRUNC(rdmult, rddiv, rate0, error0);
rd_cost1 = RDTRUNC(rdmult, rddiv, rate1, error1);
}
best = rd_cost1 < rd_cost0;
final_eob = i0 - 1; for (i = next; i < eob; i = next) {
x = tokens[i][best].qc; if (x) final_eob = i;
rc = vp8_default_zig_zag1d[i];
qcoeff_ptr[rc] = x;
dqcoeff_ptr[rc] = x * dequant_ptr[rc];
next = tokens[i][best].next;
best = (best_mask[best] >> i) & 1;
}
final_eob++;
*a = *l = (final_eob != !type);
*d->eob = (char)final_eob;
} staticvoid check_reset_2nd_coeffs(MACROBLOCKD *x, int type, ENTROPY_CONTEXT *a,
ENTROPY_CONTEXT *l) { int sum = 0; int i;
BLOCKD *bd = &x->block[24];
if (bd->dequant[0] >= 35 && bd->dequant[1] >= 35) return;
for (i = 0; i < (*bd->eob); ++i) { int coef = bd->dqcoeff[vp8_default_zig_zag1d[i]];
sum += (coef >= 0) ? coef : -coef; if (sum >= 35) return;
} /************************************************************************** our inverse hadamard transform effectively is weighted sum of all 16 inputs with weight either 1 or -1. It has a last stage scaling of (sum+3)>>3. And dc only idct is (dc+4)>>3. So if all the sums are between -35 and 29, the output after inverse wht and idct will be all zero. A sum of absolute value smaller than 35 guarantees all 16 different (+1/-1) weighted sums in wht fall between -35 and +35.
**************************************************************************/ if (sum < 35) { for (i = 0; i < (*bd->eob); ++i) { int rc = vp8_default_zig_zag1d[i];
bd->qcoeff[rc] = 0;
bd->dqcoeff[rc] = 0;
}
*bd->eob = 0;
*a = *l = (*bd->eob != !type);
}
}
staticvoid optimize_mb(MACROBLOCK *x) { int b; int type; int has_2nd_order;
Die Informationen auf dieser Webseite wurden
nach bestem Wissen sorgfältig zusammengestellt. Es wird jedoch weder Vollständigkeit, noch Richtigkeit,
noch Qualität der bereit gestellten Informationen zugesichert.
Bemerkung:
Die farbliche Syntaxdarstellung und die Messung sind noch experimentell.