📄 mbprediction.h
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#ifndef _MBPREDICTION_H_
#define _MBPREDICTION_H_
#include "../portab.h"
#include "../decoder.h"
#include "../global.h"
#ifndef MIN
#define MIN(X, Y) ((X)<(Y)?(X):(Y))
#endif
#ifndef MAX
#define MAX(X, Y) ((X)>(Y)?(X):(Y))
#endif
// very large value
#define MV_MAX_ERROR (4096 * 256)
#define MVequal(A,B) ( ((A).x)==((B).x) && ((A).y)==((B).y) )
void MBPrediction(MBParam *pParam, /* <-- the parameter for ACDC and MV prediction */
uint32_t x_pos, /* <-- The x position of the MB to be searched */
uint32_t y_pos, /* <-- The y position of the MB to be searched */
uint32_t x_dim, /* <-- Number of macroblocks in a row */
int16_t *qcoeff, /* <-> The quantized DCT coefficients */
MACROBLOCK *MB_array /* <-> the array of all the MB Infomations */
);
void add_acdc(MACROBLOCK *pMB,
uint32_t block,
int16_t dct_codes[64],
uint32_t iDcScaler,
int16_t predictors[8]);
void predict_acdc(MACROBLOCK *pMBs,
uint32_t x, uint32_t y, uint32_t mb_width,
uint32_t block,
int16_t qcoeff[64],
uint32_t current_quant,
int32_t iDcScaler,
int16_t predictors[8]);
/* This is somehow a copy of get_pmv, but returning all MVs and Minimum SAD
instead of only Median MV */
static __inline int get_pmvdata(const MACROBLOCK * const pMBs,
const uint32_t x, const uint32_t y,
const uint32_t x_dim,
const uint32_t block,
VECTOR * const pmv,
int32_t * const psad)
{
/* pmv are filled with:
[0]: Median (or whatever is correct in a special case)
[1]: left neighbour
[2]: top neighbour,
[3]: topright neighbour,
psad are filled with:
[0]: minimum of [1] to [3]
[1]: left neighbour's SAD // [1] to [3] are actually not needed
[2]: top neighbour's SAD,
[3]: topright neighbour's SAD,
*/
int xin1, xin2, xin3;
int yin1, yin2, yin3;
int vec1, vec2, vec3;
static VECTOR zeroMV;
uint32_t index = x + y * x_dim;
zeroMV.x = zeroMV.y = 0;
// first row (special case)
if (y == 0 && (block == 0 || block == 1))
{
if ((x == 0) && (block == 0)) // first column, first block
{
pmv[0] = pmv[1] = pmv[2] = pmv[3] = zeroMV;
psad[0] = psad[1] = psad[2] = psad[3] = MV_MAX_ERROR;
return 0;
}
if (block == 1) // second block; has only a left neighbour
{
pmv[0] = pmv[1] = pMBs[index].mvs[0];
pmv[2] = pmv[3] = zeroMV;
psad[0] = psad[1] = pMBs[index].sad8[0];
psad[2] = psad[3] = MV_MAX_ERROR;
return 0;
}
else /* block==0, but x!=0, so again, there is a left neighbour*/
{
pmv[0] = pmv[1] = pMBs[index-1].mvs[1];
pmv[2] = pmv[3] = zeroMV;
psad[0] = psad[1] = pMBs[index-1].sad8[1];
psad[2] = psad[3] = MV_MAX_ERROR;
return 0;
}
}
/*
MODE_INTER, vm18 page 48
MODE_INTER4V vm18 page 51
(x,y-1) (x+1,y-1)
[ | ] [ | ]
[ 2 | 3 ] [ 2 | ]
(x-1,y) (x,y) (x+1,y)
[ | 1 ] [ 0 | 1 ] [ 0 | ]
[ | 3 ] [ 2 | 3 ] [ | ]
*/
switch (block)
{
case 0:
xin1 = x - 1; yin1 = y; vec1 = 1; /* left */
xin2 = x; yin2 = y - 1; vec2 = 2; /* top */
xin3 = x + 1; yin3 = y - 1; vec3 = 2; /* top right */
break;
case 1:
xin1 = x; yin1 = y; vec1 = 0;
xin2 = x; yin2 = y - 1; vec2 = 3;
xin3 = x + 1; yin3 = y - 1; vec3 = 2;
break;
case 2:
xin1 = x - 1; yin1 = y; vec1 = 3;
xin2 = x; yin2 = y; vec2 = 0;
xin3 = x; yin3 = y; vec3 = 1;
break;
default:
xin1 = x; yin1 = y; vec1 = 2;
xin2 = x; yin2 = y; vec2 = 0;
xin3 = x; yin3 = y; vec3 = 1;
}
if (xin1 < 0 || /* yin1 < 0 || */ xin1 >= (int32_t)x_dim)
{
pmv[1] = zeroMV;
psad[1] = MV_MAX_ERROR;
}
else
{
pmv[1] = pMBs[xin1 + yin1 * x_dim].mvs[vec1];
psad[1] = pMBs[xin1 + yin1 * x_dim].sad8[vec1];
}
if (xin2 < 0 || /* yin2 < 0 || */ xin2 >= (int32_t)x_dim)
{
pmv[2] = zeroMV;
psad[2] = MV_MAX_ERROR;
}
else
{
pmv[2] = pMBs[xin2 + yin2 * x_dim].mvs[vec2];
psad[2] = pMBs[xin2 + yin2 * x_dim].sad8[vec2];
}
if (xin3 < 0 || /* yin3 < 0 || */ xin3 >= (int32_t)x_dim)
{
pmv[3] = zeroMV;
psad[3] = MV_MAX_ERROR;
}
else
{
pmv[3] = pMBs[xin3 + yin3 * x_dim].mvs[vec3];
psad[3] = pMBs[xin2 + yin2 * x_dim].sad8[vec3];
}
if ( (MVequal(pmv[1],pmv[2])) && (MVequal(pmv[1],pmv[3])) )
{ pmv[0]=pmv[1];
psad[0]=psad[1];
return 1;
}
// median,minimum
pmv[0].x = MIN(MAX(pmv[1].x, pmv[2].x), MIN(MAX(pmv[2].x, pmv[3].x), MAX(pmv[1].x, pmv[3].x)));
pmv[0].y = MIN(MAX(pmv[1].y, pmv[2].y), MIN(MAX(pmv[2].y, pmv[3].y), MAX(pmv[1].y, pmv[3].y)));
psad[0]=MIN(MIN(psad[1],psad[2]),psad[3]);
return 0;
}
#endif /* _MBPREDICTION_H_ */
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