HM16.0之帧间预测——xCheckRDCostInter()函数
参考：https://blog.csdn.net/nb_vol_1/article/category/6179825/1?
1、源代码：
#if AMP_MRG Void TEncCu::xCheckRDCostInter( TComDataCU*& rpcBestCU, TComDataCU*& rpcTempCU, PartSize ePartSize DEBUG_STRING_FN_DECLARE(sDebug), Bool bUseMRG) #else Void TEncCu::xCheckRDCostInter( TComDataCU*& rpcBestCU, TComDataCU*& rpcTempCU, PartSize ePartSize ) #endif { DEBUG_STRING_NEW(sTest)
// 对rpcTempCU进行初始化 UChar uhDepth = rpcTempCU->getDepth( 0 ); rpcTempCU->setDepthSubParts( uhDepth, 0 ); rpcTempCU->setSkipFlagSubParts( false, 0, uhDepth ); rpcTempCU->setPartSizeSubParts ( ePartSize, 0, uhDepth ); rpcTempCU->setPredModeSubParts ( MODE_INTER, 0, uhDepth ); rpcTempCU->setChromaQpAdjSubParts( rpcTempCU->getCUTransquantBypass(0) ? 0 : m_ChromaQpAdjIdc, 0, uhDepth ); #if AMP_MRG // 进行Inter整像素搜索 rpcTempCU->setMergeAMP (true); m_pcPredSearch->predInterSearch ( rpcTempCU, m_ppcOrigYuv[uhDepth], m_ppcPredYuvTemp[uhDepth], m_ppcResiYuvTemp[uhDepth], m_ppcRecoYuvTemp[uhDepth] DEBUG_STRING_PASS_INTO(sTest), false, bUseMRG ); #else m_pcPredSearch->predInterSearch ( rpcTempCU, m_ppcOrigYuv[uhDepth], m_ppcPredYuvTemp[uhDepth], m_ppcResiYuvTemp[uhDepth], m_ppcRecoYuvTemp[uhDepth] ); #endif #if AMP_MRG if ( !rpcTempCU->getMergeAMP() ) { return; } #endif
// 计算普通Inter模式残差及RDCost m_pcPredSearch->encodeResAndCalcRdInterCU( rpcTempCU, m_ppcOrigYuv[uhDepth], m_ppcPredYuvTemp[uhDepth], m_ppcResiYuvTemp[uhDepth], m_ppcResiYuvBest[uhDepth], m_ppcRecoYuvTemp[uhDepth], false DEBUG_STRING_PASS_INTO(sTest) ); // 存储总代价
rpcTempCU->getTotalCost() = m_pcRdCost->calcRdCost( rpcTempCU->getTotalBits(), rpcTempCU->getTotalDistortion() ); #ifdef DEBUG_STRING DebugInterPredResiReco(sTest, *(m_ppcPredYuvTemp[uhDepth]), *(m_ppcResiYuvBest[uhDepth]), *(m_ppcRecoYuvTemp[uhDepth]), DebugStringGetPredModeMask(rpcTempCU->getPredictionMode(0))); #endif
// DeltaQP检测 xCheckDQP( rpcTempCU );
// 检测并设置最优模式 xCheckBestMode(rpcBestCU, rpcTempCU, uhDepth DEBUG_STRING_PASS_INTO(sDebug) DEBUG_STRING_PASS_INTO(sTest)); }
2、PartSize:
/// supported partition shape
/// AMP (SIZE_2NxnU, SIZE_2NxnD, SIZE_nLx2N, SIZE_nRx2N) enum PartSize { SIZE_2Nx2N = 0, ///< symmetric motion partition, 2Nx2N SIZE_2NxN = 1, ///< symmetric motion partition, 2Nx N SIZE_Nx2N = 2, ///< symmetric motion partition, Nx2N SIZE_NxN = 3, ///< symmetric motion partition, Nx N SIZE_2NxnU = 4, ///< asymmetric motion partition, 2Nx( N/2) + 2Nx(3N/2) SIZE_2NxnD = 5, ///< asymmetric motion partition, 2Nx(3N/2) + 2Nx( N/2) SIZE_nLx2N = 6, ///< asymmetric motion partition, ( N/2)x2N + (3N/2)x2N SIZE_nRx2N = 7, ///< asymmetric motion partition, (3N/2)x2N + ( N/2)x2N NUMBER_OF_PART_SIZES = 8 };
3、帧间搜索predInterSearch：
// predInterSearch函数的主要工作是ME（运动估计）和MC（运动补偿）
// 帧间搜索最佳候选
/** search of the best candidate for inter prediction
* \param pcCU
* \param pcOrgYuv
* \param rpcPredYuv
* \param rpcResiYuv
* \param rpcRecoYuv
* \param bUseRes
* \returns Void
*/
#if AMP_MRG
Void TEncSearch::predInterSearch( TComDataCU* pcCU, TComYuv* pcOrgYuv, TComYuv*& rpcPredYuv, TComYuv*& rpcResiYuv, TComYuv*& rpcRecoYuv DEBUG_STRING_FN_DECLARE(sDebug), Bool bUseRes, Bool bUseMRG )
#else
Void TEncSearch::predInterSearch( TComDataCU* pcCU, TComYuv* pcOrgYuv, TComYuv*& rpcPredYuv, TComYuv*& rpcResiYuv, TComYuv*& rpcRecoYuv, Bool bUseRes )
#endif
{
for(UInt i=0; i<NUM_REF_PIC_LIST_01; i++)
{
m_acYuvPred[i].clear();
}
m_cYuvPredTemp.clear();
rpcPredYuv->clear();
if ( !bUseRes )
{
rpcResiYuv->clear();
}
rpcRecoYuv->clear();
TComMv cMvSrchRngLT; // 左上
TComMv cMvSrchRngRB; // 右下
TComMv cMvZero;
TComMv TempMv; //kolya
TComMv cMv[2];
TComMv cMvBi[2];
TComMv cMvTemp[2][33];
Int iNumPart = pcCU->getNumPartitions(); // 分块数
Int iNumPredDir = pcCU->getSlice()->isInterP() ? 1 : 2; // 预测方向，P帧为1，B帧为2
TComMv cMvPred[2][33]; // 记录前向参考帧的MV
TComMv cMvPredBi[2][33]; // 记录后向参考帧的MV
Int aaiMvpIdxBi[2][33]; // 记录后向参考帧的MVP索引
Int aaiMvpIdx[2][33]; // 记录前向参考帧的MVP索引
Int aaiMvpNum[2][33]; // 记录MVP的数量
AMVPInfo aacAMVPInfo[2][33]; // 记录AMVP的信息
Int iRefIdx[2]={0,0}; //If un-initialized, may cause SEGV in bi-directional prediction iterative stage.
Int iRefIdxBi[2];
UInt uiPartAddr;
Int iRoiWidth, iRoiHeight;
UInt uiMbBits[3] = {1, 1, 0};
UInt uiLastMode = 0;
Int iRefStart, iRefEnd;
PartSize ePartSize = pcCU->getPartitionSize( 0 );
Int bestBiPRefIdxL1 = 0;
Int bestBiPMvpL1 = 0;
Distortion biPDistTemp = std::numeric_limits<Distortion>::max(); // 将失真置为最大
#if ZERO_MVD_EST
Int aiZeroMvdMvpIdx[2] = {-1, -1};
Int aiZeroMvdRefIdx[2] = {0, 0};
Int iZeroMvdDir = -1;
#endif
TComMvField cMvFieldNeighbours[MRG_MAX_NUM_CANDS << 1]; // double length for mv of both lists 为了双向MV，长度为2倍
UChar uhInterDirNeighbours[MRG_MAX_NUM_CANDS];
Int numValidMergeCand = 0 ;
// 初始化，将所有分块的失真都置为最大
for ( Int iPartIdx = 0; iPartIdx < iNumPart; iPartIdx++ )
{
Distortion uiCost[2] = { std::numeric_limits<Distortion>::max(), std::numeric_limits<Distortion>::max() };
Distortion uiCostBi = std::numeric_limits<Distortion>::max();
Distortion uiCostTemp;
UInt uiBits[3];
UInt uiBitsTemp;
#if ZERO_MVD_EST
Distortion uiZeroMvdCost = std::numeric_limits<Distortion>::max();
Distortion uiZeroMvdCostTemp;
UInt uiZeroMvdBitsTemp;
Distortion uiZeroMvdDistTemp = std::numeric_limits<Distortion>::max();
UInt auiZeroMvdBits[3];
#endif
Distortion bestBiPDist = std::numeric_limits<Distortion>::max();
Distortion uiCostTempL0[MAX_NUM_REF];
for (Int iNumRef=0; iNumRef < MAX_NUM_REF; iNumRef++) // 将各参考图像的失真置为最大
{
uiCostTempL0[iNumRef] = std::numeric_limits<Distortion>::max();
}
UInt uiBitsTempL0[MAX_NUM_REF];
TComMv mvValidList1;
Int refIdxValidList1 = 0;
UInt bitsValidList1 = MAX_UINT;
Distortion costValidList1 = std::numeric_limits<Distortion>::max();
// 获取CU块的比特数
xGetBlkBits( ePartSize, pcCU->getSlice()->isInterP(), iPartIdx, uiLastMode, uiMbBits);
// 获取CU的宽、高、起始地址信息
pcCU->getPartIndexAndSize( iPartIdx, uiPartAddr, iRoiWidth, iRoiHeight );
#if AMP_MRG
Bool bTestNormalMC = true; // 指示是否进行正常的MC（ME+MC）
// bUseMRG为真、CU大于8且分块为SIZE_2NxN时，不能进行正常的MC
if ( bUseMRG && pcCU->getWidth( 0 ) > 8 && iNumPart == 2 )
{
bTestNormalMC = false;
}
// 正常MC
if (bTestNormalMC)
{
#endif
// Uni-directional prediction
// 建立参考列表，P帧只有一个，B帧有两个
for ( Int iRefList = 0; iRefList < iNumPredDir; iRefList++ ) // iRefList为当前参考列表
{
RefPicList eRefPicList = ( iRefList ? REF_PIC_LIST_1 : REF_PIC_LIST_0 ); // 前向后参考列表
// 遍历这个参考列表的所有参考帧
for ( Int iRefIdxTemp = 0; iRefIdxTemp < pcCU->getSlice()->getNumRefIdx(eRefPicList); iRefIdxTemp++ ) // iRefIdxTemp为当前参考帧索引
{
uiBitsTemp = uiMbBits[iRefList]; // 存储参考列表的比特数
if ( pcCU->getSlice()->getNumRefIdx(eRefPicList) > 1 ) // 如果参考列表中的帧数大于1，计算所有参考帧的总比特数
{
uiBitsTemp += iRefIdxTemp+1;
// 最后一帧比特数减1
if ( iRefIdxTemp == pcCU->getSlice()->getNumRefIdx(eRefPicList)-1 ) uiBitsTemp--;
}
#if ZERO_MVD_EST
xEstimateMvPredAMVP( pcCU, pcOrgYuv, iPartIdx, eRefPicList, iRefIdxTemp, cMvPred[iRefList][iRefIdxTemp], false, &biPDistTemp, &uiZeroMvdDistTemp);
#else
// 执行AMVP，进行MV预测和AMVP计算
xEstimateMvPredAMVP( pcCU, pcOrgYuv, iPartIdx, eRefPicList, iRefIdxTemp, cMvPred[iRefList][iRefIdxTemp], false, &biPDistTemp);
#endif
aaiMvpIdx[iRefList][iRefIdxTemp] = pcCU->getMVPIdx(eRefPicList, uiPartAddr); // 获取MVP索引
aaiMvpNum[iRefList][iRefIdxTemp] = pcCU->getMVPNum(eRefPicList, uiPartAddr); // 获取MVP数量
// 使用广义帧且失真小于最优失真时，更新最优参数
if(pcCU->getSlice()->getMvdL1ZeroFlag() && iRefList==1 && biPDistTemp < bestBiPDist)
{
bestBiPDist = biPDistTemp;
bestBiPMvpL1 = aaiMvpIdx[iRefList][iRefIdxTemp];
bestBiPRefIdxL1 = iRefIdxTemp;
}
uiBitsTemp += m_auiMVPIdxCost[aaiMvpIdx[iRefList][iRefIdxTemp]][AMVP_MAX_NUM_CANDS]; // 记录比特数
#if ZERO_MVD_EST
if ( iRefList == 0 || pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp ) < 0 )
{
uiZeroMvdBitsTemp = uiBitsTemp;
uiZeroMvdBitsTemp += 2; //zero mvd bits
m_pcRdCost->getMotionCost( true, 0, pcCU->getCUTransquantBypass(uiPartAddr) );
uiZeroMvdCostTemp = uiZeroMvdDistTemp + m_pcRdCost->getCost(uiZeroMvdBitsTemp);
if (uiZeroMvdCostTemp < uiZeroMvdCost)
{
uiZeroMvdCost = uiZeroMvdCostTemp;
iZeroMvdDir = iRefList + 1;
aiZeroMvdRefIdx[iRefList] = iRefIdxTemp;
aiZeroMvdMvpIdx[iRefList] = aaiMvpIdx[iRefList][iRefIdxTemp];
auiZeroMvdBits[iRefList] = uiZeroMvdBitsTemp;
}
}
#endif
#if GPB_SIMPLE_UNI
if ( iRefList == 1 ) // list 1（B帧）
{
if ( pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp ) >= 0 ) // 如果使用广义B帧，则list1直接复制list0的信息
{
cMvTemp[1][iRefIdxTemp] = cMvTemp[0][pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp )];
uiCostTemp = uiCostTempL0[pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp )];
/*first subtract the bit-rate part of the cost of the other list*/
uiCostTemp -= m_pcRdCost->getCost( uiBitsTempL0[pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp )] );
/*correct the bit-rate part of the current ref*/
m_pcRdCost->setPredictor ( cMvPred[iRefList][iRefIdxTemp] );
uiBitsTemp += m_pcRdCost->getBits( cMvTemp[1][iRefIdxTemp].getHor(), cMvTemp[1][iRefIdxTemp].getVer() );
/*calculate the correct cost*/
uiCostTemp += m_pcRdCost->getCost( uiBitsTemp );
}
else
{
xMotionEstimation ( pcCU, pcOrgYuv, iPartIdx, eRefPicList, &cMvPred[iRefList][iRefIdxTemp], iRefIdxTemp, cMvTemp[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp );
}
}
// 不使用广义B帧就直接进行运动估计xMotionEstimation
else
{
xMotionEstimation ( pcCU, pcOrgYuv, iPartIdx, eRefPicList, &cMvPred[iRefList][iRefIdxTemp], iRefIdxTemp, cMvTemp[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp );
}
#else
xMotionEstimation ( pcCU, pcOrgYuv, iPartIdx, eRefPicList, &cMvPred[iRefList][iRefIdxTemp], iRefIdxTemp, cMvTemp[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp );
#endif
// 将AMVP信息写入当前CU，并检查是否是最优MVP
xCopyAMVPInfo(pcCU->getCUMvField(eRefPicList)->getAMVPInfo(), &aacAMVPInfo[iRefList][iRefIdxTemp]); // must always be done ( also when AMVP_MODE = AM_NONE )
xCheckBestMVP(pcCU, eRefPicList, cMvTemp[iRefList][iRefIdxTemp], cMvPred[iRefList][iRefIdxTemp], aaiMvpIdx[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp);
// 更新失真和比特信息
if ( iRefList == 0 )
{
uiCostTempL0[iRefIdxTemp] = uiCostTemp;
uiBitsTempL0[iRefIdxTemp] = uiBitsTemp;
}
if ( uiCostTemp < uiCost[iRefList] )
{
uiCost[iRefList] = uiCostTemp;
uiBits[iRefList] = uiBitsTemp; // storing for bi-prediction
// set motion
cMv[iRefList] = cMvTemp[iRefList][iRefIdxTemp];
iRefIdx[iRefList] = iRefIdxTemp;
}
if ( iRefList == 1 && uiCostTemp < costValidList1 && pcCU->getSlice()->getList1IdxToList0Idx( iRefIdxTemp ) < 0 )
{
costValidList1 = uiCostTemp;
bitsValidList1 = uiBitsTemp;
// set motion
mvValidList1 = cMvTemp[iRefList][iRefIdxTemp];
refIdxValidList1 = iRefIdxTemp;
}
}
}
// Bi-directional prediction 双向预测
if ( (pcCU->getSlice()->isInterB()) && (pcCU->isBipredRestriction(iPartIdx) == false) ) // isBipredRestriction（用来判断当前PU尺寸是否为8，而且划分模式是不是2Nx2N）
{
cMvBi[0] = cMv[0]; cMvBi[1] = cMv[1];
iRefIdxBi[0] = iRefIdx[0]; iRefIdxBi[1] = iRefIdx[1];
::memcpy(cMvPredBi, cMvPred, sizeof(cMvPred));
::memcpy(aaiMvpIdxBi, aaiMvpIdx, sizeof(aaiMvpIdx));
UInt uiMotBits[2];
// 使用广义B帧，则进行运动补偿motionCompensation
if(pcCU->getSlice()->getMvdL1ZeroFlag())
{
xCopyAMVPInfo(&aacAMVPInfo[1][bestBiPRefIdxL1], pcCU->getCUMvField(REF_PIC_LIST_1)->getAMVPInfo());
pcCU->setMVPIdxSubParts( bestBiPMvpL1, REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
aaiMvpIdxBi[1][bestBiPRefIdxL1] = bestBiPMvpL1;
cMvPredBi[1][bestBiPRefIdxL1] = pcCU->getCUMvField(REF_PIC_LIST_1)->getAMVPInfo()->m_acMvCand[bestBiPMvpL1];
cMvBi[1] = cMvPredBi[1][bestBiPRefIdxL1];
iRefIdxBi[1] = bestBiPRefIdxL1;
pcCU->getCUMvField( REF_PIC_LIST_1 )->setAllMv( cMvBi[1], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField( REF_PIC_LIST_1 )->setAllRefIdx( iRefIdxBi[1], ePartSize, uiPartAddr, 0, iPartIdx );
TComYuv* pcYuvPred = &m_acYuvPred[REF_PIC_LIST_1];
motionCompensation( pcCU, pcYuvPred, REF_PIC_LIST_1, iPartIdx );
uiMotBits[0] = uiBits[0] - uiMbBits[0];
uiMotBits[1] = uiMbBits[1];
if ( pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_1) > 1 )
{
uiMotBits[1] += bestBiPRefIdxL1+1;
if ( bestBiPRefIdxL1 == pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_1)-1 ) uiMotBits[1]--;
}
uiMotBits[1] += m_auiMVPIdxCost[aaiMvpIdxBi[1][bestBiPRefIdxL1]][AMVP_MAX_NUM_CANDS];
uiBits[2] = uiMbBits[2] + uiMotBits[0] + uiMotBits[1];
cMvTemp[1][bestBiPRefIdxL1] = cMvBi[1];
}
else
{
uiMotBits[0] = uiBits[0] - uiMbBits[0];
uiMotBits[1] = uiBits[1] - uiMbBits[1];
uiBits[2] = uiMbBits[2] + uiMotBits[0] + uiMotBits[1];
}
// 4-times iteration (default) 默认4次迭代
Int iNumIter = 4;
// 如果不使用广义B帧技术，且是第一次迭代，则进行运动补偿
// fast encoder setting: only one iteration
if ( m_pcEncCfg->getUseFastEnc() || pcCU->getSlice()->getMvdL1ZeroFlag())
{
iNumIter = 1;
}
for ( Int iIter = 0; iIter < iNumIter; iIter++ )
{
Int iRefList = iIter % 2;
if ( m_pcEncCfg->getUseFastEnc() ) // 使用快速编码，则选择代价大的list
{
if( uiCost[0] <= uiCost[1] )
{
iRefList = 1;
}
else
{
iRefList = 0;
}
}
else if ( iIter == 0 ) // 如果是整个子块，则选择list0
{
iRefList = 0;
}
if ( iIter == 0 && !pcCU->getSlice()->getMvdL1ZeroFlag()) // 如果是第一个子块且list1不为空，进行list0的运动补偿
{
pcCU->getCUMvField(RefPicList(1-iRefList))->setAllMv( cMv[1-iRefList], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(RefPicList(1-iRefList))->setAllRefIdx( iRefIdx[1-iRefList], ePartSize, uiPartAddr, 0, iPartIdx );
TComYuv* pcYuvPred = &m_acYuvPred[1-iRefList];
motionCompensation ( pcCU, pcYuvPred, RefPicList(1-iRefList), iPartIdx );
}
RefPicList eRefPicList = ( iRefList ? REF_PIC_LIST_1 : REF_PIC_LIST_0 );
if(pcCU->getSlice()->getMvdL1ZeroFlag())
{
iRefList = 0;
eRefPicList = REF_PIC_LIST_0;
}
Bool bChanged = false;
iRefStart = 0; // 起始参考帧
iRefEnd = pcCU->getSlice()->getNumRefIdx(eRefPicList)-1; // 结束参考帧
// 遍历所有参考帧进行运动估计
for ( Int iRefIdxTemp = iRefStart; iRefIdxTemp <= iRefEnd; iRefIdxTemp++ )
{
uiBitsTemp = uiMbBits[2] + uiMotBits[1-iRefList];
// 更新比特信息
if ( pcCU->getSlice()->getNumRefIdx(eRefPicList) > 1 )
{
uiBitsTemp += iRefIdxTemp+1;
if ( iRefIdxTemp == pcCU->getSlice()->getNumRefIdx(eRefPicList)-1 ) uiBitsTemp--;
}
uiBitsTemp += m_auiMVPIdxCost[aaiMvpIdxBi[iRefList][iRefIdxTemp]][AMVP_MAX_NUM_CANDS];
// call ME 运动估计
xMotionEstimation ( pcCU, pcOrgYuv, iPartIdx, eRefPicList, &cMvPredBi[iRefList][iRefIdxTemp], iRefIdxTemp, cMvTemp[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp, true );
// 找最优MVP
xCopyAMVPInfo(&aacAMVPInfo[iRefList][iRefIdxTemp], pcCU->getCUMvField(eRefPicList)->getAMVPInfo());
xCheckBestMVP(pcCU, eRefPicList, cMvTemp[iRefList][iRefIdxTemp], cMvPredBi[iRefList][iRefIdxTemp], aaiMvpIdxBi[iRefList][iRefIdxTemp], uiBitsTemp, uiCostTemp);
// 如果代价更小，且不是第一个子块，则进行运动补偿
if ( uiCostTemp < uiCostBi )
{
bChanged = true;
cMvBi[iRefList] = cMvTemp[iRefList][iRefIdxTemp];
iRefIdxBi[iRefList] = iRefIdxTemp;
uiCostBi = uiCostTemp;
uiMotBits[iRefList] = uiBitsTemp - uiMbBits[2] - uiMotBits[1-iRefList];
uiBits[2] = uiBitsTemp;
if(iNumIter!=1)
{
// Set motion
pcCU->getCUMvField( eRefPicList )->setAllMv( cMvBi[iRefList], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField( eRefPicList )->setAllRefIdx( iRefIdxBi[iRefList], ePartSize, uiPartAddr, 0, iPartIdx );
TComYuv* pcYuvPred = &m_acYuvPred[iRefList];
motionCompensation( pcCU, pcYuvPred, eRefPicList, iPartIdx );
}
}
} // for loop-iRefIdxTemp
// 如果找到更优的代价，则复制AMVP选出最优的MVP
if ( !bChanged )
{
if ( uiCostBi <= uiCost[0] && uiCostBi <= uiCost[1] )
{
xCopyAMVPInfo(&aacAMVPInfo[0][iRefIdxBi[0]], pcCU->getCUMvField(REF_PIC_LIST_0)->getAMVPInfo());
xCheckBestMVP(pcCU, REF_PIC_LIST_0, cMvBi[0], cMvPredBi[0][iRefIdxBi[0]], aaiMvpIdxBi[0][iRefIdxBi[0]], uiBits[2], uiCostBi);
if(!pcCU->getSlice()->getMvdL1ZeroFlag())
{
xCopyAMVPInfo(&aacAMVPInfo[1][iRefIdxBi[1]], pcCU->getCUMvField(REF_PIC_LIST_1)->getAMVPInfo());
xCheckBestMVP(pcCU, REF_PIC_LIST_1, cMvBi[1], cMvPredBi[1][iRefIdxBi[1]], aaiMvpIdxBi[1][iRefIdxBi[1]], uiBits[2], uiCostBi);
}
}
break;
}
} // for loop-iter
} // if (B_SLICE)
#if ZERO_MVD_EST
if ( (pcCU->getSlice()->isInterB()) && (pcCU->isBipredRestriction(iPartIdx) == false) )
{
m_pcRdCost->getMotionCost( true, 0, pcCU->getCUTransquantBypass(uiPartAddr) );
for ( Int iL0RefIdxTemp = 0; iL0RefIdxTemp <= pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_0)-1; iL0RefIdxTemp++ )
for ( Int iL1RefIdxTemp = 0; iL1RefIdxTemp <= pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_1)-1; iL1RefIdxTemp++ )
{
UInt uiRefIdxBitsTemp = 0;
if ( pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_0) > 1 )
{
uiRefIdxBitsTemp += iL0RefIdxTemp+1;
if ( iL0RefIdxTemp == pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_0)-1 ) uiRefIdxBitsTemp--;
}
if ( pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_1) > 1 )
{
uiRefIdxBitsTemp += iL1RefIdxTemp+1;
if ( iL1RefIdxTemp == pcCU->getSlice()->getNumRefIdx(REF_PIC_LIST_1)-1 ) uiRefIdxBitsTemp--;
}
Int iL0MVPIdx = 0;
Int iL1MVPIdx = 0;
for (iL0MVPIdx = 0; iL0MVPIdx < aaiMvpNum[0][iL0RefIdxTemp]; iL0MVPIdx++)
{
for (iL1MVPIdx = 0; iL1MVPIdx < aaiMvpNum[1][iL1RefIdxTemp]; iL1MVPIdx++)
{
uiZeroMvdBitsTemp = uiRefIdxBitsTemp;
uiZeroMvdBitsTemp += uiMbBits[2];
uiZeroMvdBitsTemp += m_auiMVPIdxCost[iL0MVPIdx][aaiMvpNum[0][iL0RefIdxTemp]] + m_auiMVPIdxCost[iL1MVPIdx][aaiMvpNum[1][iL1RefIdxTemp]];
uiZeroMvdBitsTemp += 4; //zero mvd for both directions
pcCU->getCUMvField( REF_PIC_LIST_0 )->setAllMvField( aacAMVPInfo[0][iL0RefIdxTemp].m_acMvCand[iL0MVPIdx], iL0RefIdxTemp, ePartSize, uiPartAddr, iPartIdx, 0 );
pcCU->getCUMvField( REF_PIC_LIST_1 )->setAllMvField( aacAMVPInfo[1][iL1RefIdxTemp].m_acMvCand[iL1MVPIdx], iL1RefIdxTemp, ePartSize, uiPartAddr, iPartIdx, 0 );
xGetInterPredictionError( pcCU, pcOrgYuv, iPartIdx, uiZeroMvdDistTemp, m_pcEncCfg->getUseHADME() );
uiZeroMvdCostTemp = uiZeroMvdDistTemp + m_pcRdCost->getCost( uiZeroMvdBitsTemp );
if (uiZeroMvdCostTemp < uiZeroMvdCost)
{
uiZeroMvdCost = uiZeroMvdCostTemp;
iZeroMvdDir = 3;
aiZeroMvdMvpIdx[0] = iL0MVPIdx;
aiZeroMvdMvpIdx[1] = iL1MVPIdx;
aiZeroMvdRefIdx[0] = iL0RefIdxTemp;
aiZeroMvdRefIdx[1] = iL1RefIdxTemp;
auiZeroMvdBits[2] = uiZeroMvdBitsTemp;
}
}
}
}
}
#endif
#if AMP_MRG
} //end if bTestNormalMC
#endif
// 设置MV信息
// Clear Motion Field
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvField( TComMvField(), ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvField( TComMvField(), ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvd ( cMvZero, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvd ( cMvZero, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->setMVPIdxSubParts( -1, REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( -1, REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPIdxSubParts( -1, REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( -1, REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
UInt uiMEBits = 0;
// Set Motion Field_
cMv[1] = mvValidList1;
iRefIdx[1] = refIdxValidList1;
uiBits[1] = bitsValidList1;
uiCost[1] = costValidList1;
#if AMP_MRG
// 设置MV、MVP、MVD信息
if (bTestNormalMC)
{
#endif
#if ZERO_MVD_EST
if (uiZeroMvdCost <= uiCostBi && uiZeroMvdCost <= uiCost[0] && uiZeroMvdCost <= uiCost[1])
{
if (iZeroMvdDir == 3)
{
uiLastMode = 2;
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvField( aacAMVPInfo[0][aiZeroMvdRefIdx[0]].m_acMvCand[aiZeroMvdMvpIdx[0]], aiZeroMvdRefIdx[0], ePartSize, uiPartAddr, iPartIdx, 0 );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvField( aacAMVPInfo[1][aiZeroMvdRefIdx[1]].m_acMvCand[aiZeroMvdMvpIdx[1]], aiZeroMvdRefIdx[1], ePartSize, uiPartAddr, iPartIdx, 0 );
pcCU->setInterDirSubParts( 3, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aiZeroMvdMvpIdx[0], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[0][aiZeroMvdRefIdx[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPIdxSubParts( aiZeroMvdMvpIdx[1], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[1][aiZeroMvdRefIdx[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = auiZeroMvdBits[2];
}
else if (iZeroMvdDir == 1)
{
uiLastMode = 0;
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvField( aacAMVPInfo[0][aiZeroMvdRefIdx[0]].m_acMvCand[aiZeroMvdMvpIdx[0]], aiZeroMvdRefIdx[0], ePartSize, uiPartAddr, iPartIdx, 0 );
pcCU->setInterDirSubParts( 1, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aiZeroMvdMvpIdx[0], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[0][aiZeroMvdRefIdx[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = auiZeroMvdBits[0];
}
else if (iZeroMvdDir == 2)
{
uiLastMode = 1;
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvField( aacAMVPInfo[1][aiZeroMvdRefIdx[1]].m_acMvCand[aiZeroMvdMvpIdx[1]], aiZeroMvdRefIdx[1], ePartSize, uiPartAddr, iPartIdx, 0 );
pcCU->setInterDirSubParts( 2, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aiZeroMvdMvpIdx[1], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[1][aiZeroMvdRefIdx[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = auiZeroMvdBits[1];
}
else
{
assert(0);
}
}
else
#endif
if ( uiCostBi <= uiCost[0] && uiCostBi <= uiCost[1])
{
uiLastMode = 2;
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMv( cMvBi[0], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllRefIdx( iRefIdxBi[0], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMv( cMvBi[1], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllRefIdx( iRefIdxBi[1], ePartSize, uiPartAddr, 0, iPartIdx );
// 计算并存储MVD
TempMv = cMvBi[0] - cMvPredBi[0][iRefIdxBi[0]];
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvd ( TempMv, ePartSize, uiPartAddr, 0, iPartIdx );
TempMv = cMvBi[1] - cMvPredBi[1][iRefIdxBi[1]];
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvd ( TempMv, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->setInterDirSubParts( 3, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aaiMvpIdxBi[0][iRefIdxBi[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[0][iRefIdxBi[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPIdxSubParts( aaiMvpIdxBi[1][iRefIdxBi[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[1][iRefIdxBi[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = uiBits[2];
}
else if ( uiCost[0] <= uiCost[1] )
{
uiLastMode = 0;
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMv( cMv[0], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllRefIdx( iRefIdx[0], ePartSize, uiPartAddr, 0, iPartIdx );
TempMv = cMv[0] - cMvPred[0][iRefIdx[0]];
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvd ( TempMv, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->setInterDirSubParts( 1, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aaiMvpIdx[0][iRefIdx[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[0][iRefIdx[0]], REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = uiBits[0];
}
else
{
uiLastMode = 1;
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMv( cMv[1], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllRefIdx( iRefIdx[1], ePartSize, uiPartAddr, 0, iPartIdx );
TempMv = cMv[1] - cMvPred[1][iRefIdx[1]];
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvd ( TempMv, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->setInterDirSubParts( 2, uiPartAddr, iPartIdx, pcCU->getDepth(0) );
pcCU->setMVPIdxSubParts( aaiMvpIdx[1][iRefIdx[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( aaiMvpNum[1][iRefIdx[1]], REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
uiMEBits = uiBits[1];
}
#if AMP_MRG
} // end if bTestNormalMC
#endif
// 如果不是2Nx2N，即一个CU会被划分为多个PU，则应该计算并合并它们的运动估计代价
if ( pcCU->getPartitionSize( uiPartAddr ) != SIZE_2Nx2N )
{
UInt uiMRGInterDir = 0;
TComMvField cMRGMvField[2];
UInt uiMRGIndex = 0;
UInt uiMEInterDir = 0;
TComMvField cMEMvField[2];
m_pcRdCost->getMotionCost( true, 0, pcCU->getCUTransquantBypass(uiPartAddr) );
#if AMP_MRG
// calculate ME cost
Distortion uiMEError = std::numeric_limits<Distortion>::max();
Distortion uiMECost = std::numeric_limits<Distortion>::max();
if (bTestNormalMC)
{
// xGetInterPredictionError中进行了运动补偿
xGetInterPredictionError( pcCU, pcOrgYuv, iPartIdx, uiMEError, m_pcEncCfg->getUseHADME() );
uiMECost = uiMEError + m_pcRdCost->getCost( uiMEBits );
}
#else
// calculate ME cost
Distortion uiMEError = std::numeric_limits<Distortion>::max();
xGetInterPredictionError( pcCU, pcOrgYuv, iPartIdx, uiMEError, m_pcEncCfg->getUseHADME() );
Distortion uiMECost = uiMEError + m_pcRdCost->getCost( uiMEBits );
#endif
// save ME result.
uiMEInterDir = pcCU->getInterDir( uiPartAddr );
pcCU->getMvField( pcCU, uiPartAddr, REF_PIC_LIST_0, cMEMvField[0] );
pcCU->getMvField( pcCU, uiPartAddr, REF_PIC_LIST_1, cMEMvField[1] );
// find Merge result
Distortion uiMRGCost = std::numeric_limits<Distortion>::max();
// 合并估计信息
xMergeEstimation( pcCU, pcOrgYuv, iPartIdx, uiMRGInterDir, cMRGMvField, uiMRGIndex, uiMRGCost, cMvFieldNeighbours, uhInterDirNeighbours, numValidMergeCand);
// 设置运动估计的结果
if ( uiMRGCost < uiMECost )
{
// set Merge result
pcCU->setMergeFlagSubParts ( true, uiPartAddr, iPartIdx, pcCU->getDepth( uiPartAddr ) );
pcCU->setMergeIndexSubParts( uiMRGIndex, uiPartAddr, iPartIdx, pcCU->getDepth( uiPartAddr ) );
pcCU->setInterDirSubParts ( uiMRGInterDir, uiPartAddr, iPartIdx, pcCU->getDepth( uiPartAddr ) );
pcCU->getCUMvField( REF_PIC_LIST_0 )->setAllMvField( cMRGMvField[0], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField( REF_PIC_LIST_1 )->setAllMvField( cMRGMvField[1], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_0)->setAllMvd ( cMvZero, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField(REF_PIC_LIST_1)->setAllMvd ( cMvZero, ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->setMVPIdxSubParts( -1, REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( -1, REF_PIC_LIST_0, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPIdxSubParts( -1, REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
pcCU->setMVPNumSubParts( -1, REF_PIC_LIST_1, uiPartAddr, iPartIdx, pcCU->getDepth(uiPartAddr));
}
else
{
// set ME result
pcCU->setMergeFlagSubParts( false, uiPartAddr, iPartIdx, pcCU->getDepth( uiPartAddr ) );
pcCU->setInterDirSubParts ( uiMEInterDir, uiPartAddr, iPartIdx, pcCU->getDepth( uiPartAddr ) );
pcCU->getCUMvField( REF_PIC_LIST_0 )->setAllMvField( cMEMvField[0], ePartSize, uiPartAddr, 0, iPartIdx );
pcCU->getCUMvField( REF_PIC_LIST_1 )->setAllMvField( cMEMvField[1], ePartSize, uiPartAddr, 0, iPartIdx );
}
}
// MC 运动补偿
motionCompensation ( pcCU, rpcPredYuv, REF_PIC_LIST_X, iPartIdx );
} // end of for ( Int iPartIdx = 0; iPartIdx < iNumPart; iPartIdx++ )
// 设置加权预测
setWpScalingDistParam( pcCU, -1, REF_PIC_LIST_X );
return;
}
4、xEstimateMvPredAMVP（AMVP的入口函数，执行AMVP操作）：
// AMVP #if ZERO_MVD_EST Void TEncSearch::xEstimateMvPredAMVP( TComDataCU* pcCU, TComYuv* pcOrgYuv, UInt uiPartIdx, RefPicList eRefPicList, Int iRefIdx, TComMv& rcMvPred, Bool bFilled, Distortion* puiDistBiP, Distortion* puiDist ) #else Void TEncSearch::xEstimateMvPredAMVP( TComDataCU* pcCU, TComYuv* pcOrgYuv, UInt uiPartIdx, RefPicList eRefPicList, Int iRefIdx, TComMv& rcMvPred, Bool bFilled, Distortion* puiDistBiP ) #endif { AMVPInfo* pcAMVPInfo = pcCU->getCUMvField(eRefPicList)->getAMVPInfo(); TComMv cBestMv; Int iBestIdx = 0; TComMv cZeroMv; TComMv cMvPred; Distortion uiBestCost = std::numeric_limits<Distortion>::max(); UInt uiPartAddr = 0; Int iRoiWidth, iRoiHeight; Int i;
// 得到此次分割的索引和大小 pcCU->getPartIndexAndSize( uiPartIdx, uiPartAddr, iRoiWidth, iRoiHeight ); // Fill the MV Candidates
// 获取MVP（即预测的MV），MVP存放在pcAMVPInfo中 if (!bFilled) { pcCU->fillMvpCand( uiPartIdx, uiPartAddr, eRefPicList, iRefIdx, pcAMVPInfo ); } // initialize Mvp index & Mvp
// 最优MVP的默认索引为0 iBestIdx = 0;
// 最优MVP默认是列表第一个 cBestMv = pcAMVPInfo->m_acMvCand[0]; #if !ZERO_MVD_EST
// 如果MVP候选列表中MVP的数量是0或者1 if (pcAMVPInfo->iN <= 1) {
// 得到了最优的MVP rcMvPred = cBestMv; pcCU->setMVPIdxSubParts( iBestIdx, eRefPicList, uiPartAddr, uiPartIdx, pcCU->getDepth(uiPartAddr)); pcCU->setMVPNumSubParts( pcAMVPInfo->iN, eRefPicList, uiPartAddr, uiPartIdx, pcCU->getDepth(uiPartAddr));
// 如果参考列表是list1（表示这是B Slice） if(pcCU->getSlice()->getMvdL1ZeroFlag() && eRefPicList==REF_PIC_LIST_1) { (*puiDistBiP) = xGetTemplateCost( pcCU, uiPartIdx, uiPartAddr, pcOrgYuv, &m_cYuvPredTemp, rcMvPred, 0, AMVP_MAX_NUM_CANDS, eRefPicList, iRefIdx, iRoiWidth, iRoiHeight); } return; } #endif // 如果MVP候选列表已经填充完毕，那么直接返回MVP就行了
// 注意：fillMvpCand并不会修改bFilled的值，bFilled的值是函数传进来的 if (bFilled) { assert(pcCU->getMVPIdx(eRefPicList,uiPartAddr) >= 0);
// 选择相应的MVP rcMvPred = pcAMVPInfo->m_acMvCand[pcCU->getMVPIdx(eRefPicList,uiPartAddr)]; return; } m_cYuvPredTemp.clear(); #if ZERO_MVD_EST Distortion uiDist; #endif //-- Check Minimum Cost.
// 遍历每一个MVP，选出代价最小的那个 for ( i = 0 ; i < pcAMVPInfo->iN; i++) { Distortion uiTmpCost; #if ZERO_MVD_EST uiTmpCost = xGetTemplateCost( pcCU, uiPartIdx, uiPartAddr, pcOrgYuv, &m_cYuvPredTemp, pcAMVPInfo->m_acMvCand[i], i, AMVP_MAX_NUM_CANDS, eRefPicList, iRefIdx, iRoiWidth, iRoiHeight, uiDist ); #else uiTmpCost = xGetTemplateCost( pcCU, uiPartIdx, uiPartAddr, pcOrgYuv, &m_cYuvPredTemp, pcAMVPInfo->m_acMvCand[i], i, AMVP_MAX_NUM_CANDS, eRefPicList, iRefIdx, iRoiWidth, iRoiHeight); #endif if ( uiBestCost > uiTmpCost ) { uiBestCost = uiTmpCost; cBestMv = pcAMVPInfo->m_acMvCand[i]; iBestIdx = i; (*puiDistBiP) = uiTmpCost; #if ZERO_MVD_EST (*puiDist) = uiDist; #endif } } m_cYuvPredTemp.clear(); // Setting Best MVP rcMvPred = cBestMv; pcCU->setMVPIdxSubParts( iBestIdx, eRefPicList, uiPartAddr, uiPartIdx, pcCU->getDepth(uiPartAddr)); pcCU->setMVPNumSubParts( pcAMVPInfo->iN, eRefPicList, uiPartAddr, uiPartIdx, pcCU->getDepth(uiPartAddr)); return; }
5、xMotionEstimation（运动估计的入口函数，进行运动搜索，找到MV）：
Void TEncSearch::xMotionEstimation( TComDataCU* pcCU, TComYuv* pcYuvOrg, Int iPartIdx, RefPicList eRefPicList, TComMv* pcMvPred, Int iRefIdxPred, TComMv& rcMv, UInt& ruiBits, Distortion& ruiCost, Bool bBi )
{
UInt uiPartAddr;
Int iRoiWidth;
Int iRoiHeight;
TComMv cMvHalf, cMvQter; // 定义1/2和1/4精度MV
TComMv cMvSrchRngLT;
TComMv cMvSrchRngRB;
TComYuv* pcYuv = pcYuvOrg; // 图像首地址
assert(eRefPicList < MAX_NUM_REF_LIST_ADAPT_SR && iRefIdxPred<Int(MAX_IDX_ADAPT_SR));
m_iSearchRange = m_aaiAdaptSR[eRefPicList][iRefIdxPred]; // 根据参考帧列表类型、参考帧序号自适应设置搜索范围
Int iSrchRng = ( bBi ? m_bipredSearchRange : m_iSearchRange ); // 根据是否是双向预测设置搜索范围
TComPattern tmpPattern;
TComPattern* pcPatternKey = &tmpPattern; // TComPattern是用于访问相邻块/像素的一个工具类，用于获取neighbor的信息
Double fWeight = 1.0;
pcCU->getPartIndexAndSize( iPartIdx, uiPartAddr, iRoiWidth, iRoiHeight ); // 获取PU的地址，宽度和高度
if ( bBi ) // B帧
{
TComYuv* pcYuvOther = &m_acYuvPred[1-(Int)eRefPicList];
pcYuv = &m_cYuvPredTemp;
pcYuvOrg->copyPartToPartYuv( pcYuv, uiPartAddr, iRoiWidth, iRoiHeight );
pcYuv->removeHighFreq( pcYuvOther, uiPartAddr, iRoiWidth, iRoiHeight );
fWeight = 0.5;
}
// Search key pattern initialization
// 初始化待搜索的PU的首地址，宽度，高度，跨度，比特深度
pcPatternKey->initPattern( pcYuv->getAddr ( COMPONENT_Y, uiPartAddr ),
iRoiWidth,
iRoiHeight,
pcYuv->getStride(COMPONENT_Y) );
// 获取参考图像首地址和跨度
Pel* piRefY = pcCU->getSlice()->getRefPic( eRefPicList, iRefIdxPred )->getPicYuvRec()->getAddr( COMPONENT_Y, pcCU->getAddr(), pcCU->getZorderIdxInCU() + uiPartAddr );
Int iRefStride = pcCU->getSlice()->getRefPic( eRefPicList, iRefIdxPred )->getPicYuvRec()->getStride(COMPONENT_Y);
TComMv cMvPred = *pcMvPred; // 设置运动估计的搜索范围，LeftTop & RightBottom
if ( bBi ) xSetSearchRange ( pcCU, rcMv , iSrchRng, cMvSrchRngLT, cMvSrchRngRB );
else xSetSearchRange ( pcCU, cMvPred, iSrchRng, cMvSrchRngLT, cMvSrchRngRB );
m_pcRdCost->getMotionCost( true, 0, pcCU->getCUTransquantBypass(uiPartAddr) ); // 计算率失真代价
m_pcRdCost->setPredictor ( *pcMvPred ); // 设置预测得到的MV
m_pcRdCost->setCostScale ( 2 );
setWpScalingDistParam( pcCU, iRefIdxPred, eRefPicList ); // 设置跟weighted prediction相关的参数
// Do integer search
// 整像素搜索
if ( !m_iFastSearch || bBi )
{
// 如果是B帧或者不是快速搜索模式，进行常规搜索
xPatternSearch ( pcPatternKey, piRefY, iRefStride, &cMvSrchRngLT, &cMvSrchRngRB, rcMv, ruiCost );
}
else
{
// 进行快速搜索
rcMv = *pcMvPred;
const TComMv *pIntegerMv2Nx2NPred=0;
if (pcCU->getPartitionSize(0) != SIZE_2Nx2N || pcCU->getDepth(0) != 0)
{
#if RExt__BACKWARDS_COMPATIBILITY_MOTION_ESTIMATION_R0105
const Profile::Name profileIdc=pcCU->getSlice()->getSPS()->getPTL()->getGeneralPTL()->getProfileIdc(); // TODO: RExt - temporary profile check to ensure backwards compatibility with HM.
if (profileIdc != Profile::MAIN && profileIdc != Profile::MAIN10 && profileIdc != Profile::MAINSTILLPICTURE)
#endif
pIntegerMv2Nx2NPred = &(m_integerMv2Nx2N[eRefPicList][iRefIdxPred]);
}
xPatternSearchFast ( pcCU, pcPatternKey, piRefY, iRefStride, &cMvSrchRngLT, &cMvSrchRngRB, rcMv, ruiCost, pIntegerMv2Nx2NPred );
if (pcCU->getPartitionSize(0) == SIZE_2Nx2N)
{
m_integerMv2Nx2N[eRefPicList][iRefIdxPred] = rcMv;
}
}
m_pcRdCost->getMotionCost( true, 0, pcCU->getCUTransquantBypass(uiPartAddr) );
m_pcRdCost->setCostScale ( 1 );
const Bool bIsLosslessCoded = pcCU->getCUTransquantBypass(uiPartAddr) != 0;
xPatternSearchFracDIF( bIsLosslessCoded, pcPatternKey, piRefY, iRefStride, &rcMv, cMvHalf, cMvQter, ruiCost ,bBi ); // 分像素搜索
m_pcRdCost->setCostScale( 0 );
rcMv <<= 2; // 整像素
rcMv += (cMvHalf <<= 1); // 1/2像素
rcMv += cMvQter; // 1/4像素，最终MV单位为1/4精度
UInt uiMvBits = m_pcRdCost->getBits( rcMv.getHor(), rcMv.getVer() );
ruiBits += uiMvBits;
ruiCost = (Distortion)( floor( fWeight * ( (Double)ruiCost - (Double)m_pcRdCost->getCost( uiMvBits ) ) ) + (Double)m_pcRdCost->getCost( ruiBits ) );
}
6、motionCompensation（运动补偿的入口函数，进行运动补偿，构造匹配块信息）：
Void TComPrediction::motionCompensation ( TComDataCU* pcCU, TComYuv* pcYuvPred, RefPicList eRefPicList, Int iPartIdx ) { Int iWidth; Int iHeight; UInt uiPartAddr;
// 如果PU的索引是有效值，那么直接处理该PU，然后返回 if ( iPartIdx >= 0 ) { pcCU->getPartIndexAndSize( iPartIdx, uiPartAddr, iWidth, iHeight );
// 有效的参考列表，即明确地标明了使用哪个参考列表，那么就在对应方向上进行单向预测 if ( eRefPicList != REF_PIC_LIST_X ) {
// 先进行插值操作 if( pcCU->getSlice()->getPPS()->getUseWP()) { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred, true ); } else { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred ); }
// 加权预测 if ( pcCU->getSlice()->getPPS()->getUseWP() ) { xWeightedPredictionUni( pcCU, pcYuvPred, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred ); } }
// 没有指明明确的参考列表，那么判断PU两个方向上的参考帧是否一样 else {
// 如果PU的两个参考列表是相同的，即它们的运动是一致的，那么直接使用单向预测 if ( xCheckIdenticalMotion( pcCU, uiPartAddr ) ) { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, REF_PIC_LIST_0, pcYuvPred ); }
// 否则使用双向预测 else { xPredInterBi (pcCU, uiPartAddr, iWidth, iHeight, pcYuvPred ); } } return; }
// 否则处理CU下的所有PU for ( iPartIdx = 0; iPartIdx < pcCU->getNumPartitions(); iPartIdx++ ) { pcCU->getPartIndexAndSize( iPartIdx, uiPartAddr, iWidth, iHeight ); if ( eRefPicList != REF_PIC_LIST_X ) { if( pcCU->getSlice()->getPPS()->getUseWP()) { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred, true ); } else { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred ); } if ( pcCU->getSlice()->getPPS()->getUseWP() ) { xWeightedPredictionUni( pcCU, pcYuvPred, uiPartAddr, iWidth, iHeight, eRefPicList, pcYuvPred ); } } else { if ( xCheckIdenticalMotion( pcCU, uiPartAddr ) ) { xPredInterUni (pcCU, uiPartAddr, iWidth, iHeight, REF_PIC_LIST_0, pcYuvPred ); } else { xPredInterBi (pcCU, uiPartAddr, iWidth, iHeight, pcYuvPred ); } } } return; }
