Aprendizaje de código H.266 / VVC: función xEncodeInterResidual

Función xEncodeInterResidual, la función de la función es como el nombre de la función, es la entrada de la función de codificación del residuo de predicción entre cuadros. Esta función selecciona principalmente el mejor modo de codificación residual de los modos de omisión de codificación residual, DCT-2, MTS y SBT.

Principalmente dividido en los siguientes pasos:

1. Pre-análisis residual

(1) Calcule el SSE actual de toda la CU , calcule y obtenga la distorsión mínima de varios modos SBT y seleccione como máximo cuatro modos con la distorsión SBT más pequeña (la selección del modo SBT implica el algoritmo rápido de SBT) ( función calcMinDistSbt )

(2) Encuentre el modo de transformación óptimo del mismo SSE que la CU actual en la historia

Dos, selección de modo de codificación

(1) Modo de omisión o situación MTS / DCT-2: si el modo actual es el modo de codificación residual de omisión o no hay un modo de conversión con el mismo SSE que la CU actual en el historial, o el mejor modo de conversión históricamente es MTS o DCT2 , luego llame a la función encodeResAndCalcRdInterCU para la codificación residual y calcule el costo RD

(2) Situación SBT: seleccione los modos numSbtRdo SBT a través de un algoritmo rápido, recorra los modos numSbtRdo SBT, llame a la función encodeResAndCalcRdInterCU para la codificación residual y calcule el costo RD

Tres, guarda el mejor modo de transformación

Nota: Dado que SBT tiene hasta 8 modos, para reducir la complejidad, se involucran muchos algoritmos rápidos en SBT

El código de función y los comentarios relacionados son los siguientes:

void EncCu::xEncodeInterResidual(   CodingStructure *&tempCS
                                  , CodingStructure *&bestCS
                                  , Partitioner &partitioner
                                  , const EncTestMode& encTestMode
                                  , int residualPass
                                  , bool* bestHasNonResi
                                  , double* equBcwCost
  )
{

  CodingUnit*            cu        = tempCS->getCU( partitioner.chType );
  double   bestCostInternal        = MAX_DOUBLE;
  double           bestCost        = bestCS->cost;
  double           bestCostBegin   = bestCS->cost;
  CodingUnit*      prevBestCU      = bestCS->getCU( partitioner.chType );
  uint8_t          prevBestSbt     = ( prevBestCU == nullptr ) ? 0 : prevBestCU->sbtInfo;
  bool              swapped        = false; // avoid unwanted data copy
  bool             reloadCU        = false;

  const PredictionUnit& pu = *cu->firstPU;

  // clang-format off
  const int affineShiftTab[3] =
  {
    MV_PRECISION_INTERNAL - MV_PRECISION_QUARTER,
    MV_PRECISION_INTERNAL - MV_PRECISION_SIXTEENTH,
    MV_PRECISION_INTERNAL - MV_PRECISION_INT
  };

  const int normalShiftTab[NUM_IMV_MODES] =
  {
    MV_PRECISION_INTERNAL - MV_PRECISION_QUARTER,
    MV_PRECISION_INTERNAL - MV_PRECISION_INT,
    MV_PRECISION_INTERNAL - MV_PRECISION_4PEL,
    MV_PRECISION_INTERNAL - MV_PRECISION_HALF,
  };
  // clang-format on

  int mvShift;

  for (int refList = 0; refList < NUM_REF_PIC_LIST_01; refList++)
  {
    if (pu.refIdx[refList] >= 0)
    {
      if (!cu->affine)
      {
        mvShift = normalShiftTab[cu->imv];
        Mv signaledmvd(pu.mvd[refList].getHor() >> mvShift, pu.mvd[refList].getVer() >> mvShift);
        if (!((signaledmvd.getHor() >= MVD_MIN) && (signaledmvd.getHor() <= MVD_MAX)) || !((signaledmvd.getVer() >= MVD_MIN) && (signaledmvd.getVer() <= MVD_MAX)))
          return;
      }
      else
      {
        for (int ctrlP = 1 + (cu->affineType == AFFINEMODEL_6PARAM); ctrlP >= 0; ctrlP--)
        {
          mvShift = affineShiftTab[cu->imv];
          Mv signaledmvd(pu.mvdAffi[refList][ctrlP].getHor() >> mvShift, pu.mvdAffi[refList][ctrlP].getVer() >> mvShift);
          if (!((signaledmvd.getHor() >= MVD_MIN) && (signaledmvd.getHor() <= MVD_MAX)) || !((signaledmvd.getVer() >= MVD_MIN) && (signaledmvd.getVer() <= MVD_MAX)))
            return;
        }
      }
    }
  }
  // avoid MV exceeding 18-bit dynamic range
  // 避免MV超过18位动态范围
  const int maxMv = 1 << 17;
  if (!cu->affine && !pu.mergeFlag)
  {
    if ( (pu.refIdx[0] >= 0 && (pu.mv[0].getAbsHor() >= maxMv || pu.mv[0].getAbsVer() >= maxMv))
      || (pu.refIdx[1] >= 0 && (pu.mv[1].getAbsHor() >= maxMv || pu.mv[1].getAbsVer() >= maxMv)))
    {
      return;
    }
  }
  if (cu->affine && !pu.mergeFlag)
  {
    for (int refList = 0; refList < NUM_REF_PIC_LIST_01; refList++)
    {
      if (pu.refIdx[refList] >= 0)
      {
        for (int ctrlP = 1 + (cu->affineType == AFFINEMODEL_6PARAM); ctrlP >= 0; ctrlP--)
        {
          if (pu.mvAffi[refList][ctrlP].getAbsHor() >= maxMv || pu.mvAffi[refList][ctrlP].getAbsVer() >= maxMv)
          {
            return;
          }
        }
      }
    }
  }
  const bool mtsAllowed = tempCS->sps->getUseInterMTS() && CU::isInter( *cu ) && partitioner.currArea().lwidth() <= MTS_INTER_MAX_CU_SIZE && partitioner.currArea().lheight() <= MTS_INTER_MAX_CU_SIZE;
  uint8_t sbtAllowed = cu->checkAllowedSbt();//是否允许使用SBT,判断当前预测模式、CU尺寸是否符合要求

  // SBT resolution-dependent fast algorithm: not try size-64 SBT in RDO for low-resolution sequences (now resolution below HD)
  // SBT分辨率相关快速算法:对于低分辨率序列(现在分辨率低于HD),不要尝试RDO中的size-64sbt
  if( tempCS->pps->getPicWidthInLumaSamples() < (uint32_t)m_pcEncCfg->getSBTFast64WidthTh() )
  {
    sbtAllowed = ((cu->lwidth() > 32 || cu->lheight() > 32)) ? 0 : sbtAllowed;
  }
  uint8_t numRDOTried = 0;
  Distortion sbtOffDist = 0;
  bool    sbtOffRootCbf = 0;
  double  sbtOffCost      = MAX_DOUBLE;
  double  currBestCost = MAX_DOUBLE;
  bool    doPreAnalyzeResi = ( sbtAllowed || mtsAllowed ) && residualPass == 0;

  m_pcInterSearch->initTuAnalyzer();
  if( doPreAnalyzeResi )
  {
    m_pcInterSearch->calcMinDistSbt( *tempCS, *cu, sbtAllowed );
  }

  auto    slsSbt = dynamic_cast<SaveLoadEncInfoSbt*>( m_modeCtrl );
  int     slShift = 4 + std::min( (int)gp_sizeIdxInfo->idxFrom( cu->lwidth() ) + (int)gp_sizeIdxInfo->idxFrom( cu->lheight() ), 9 );
  Distortion curPuSse = m_pcInterSearch->getEstDistSbt( NUMBER_SBT_MODE );//当前PU的SSE
  uint8_t currBestSbt = 0;
  uint8_t currBestTrs = MAX_UCHAR;
  uint8_t histBestSbt = MAX_UCHAR;
  uint8_t histBestTrs = MAX_UCHAR;
  m_pcInterSearch->setHistBestTrs( MAX_UCHAR, MAX_UCHAR );
  // 设置历史最佳SBT模式和MTS模式
  if( doPreAnalyzeResi )
  {
    if( m_pcInterSearch->getSkipSbtAll() && !mtsAllowed ) //emt is off MTS关闭
    {
      histBestSbt = 0; //try DCT2
      m_pcInterSearch->setHistBestTrs( histBestSbt, histBestTrs );
    }
    else
    {
      assert( curPuSse != std::numeric_limits<uint64_t>::max() );
      //寻找历史上与当前PU相同SSE的最优SBT模式
      uint16_t compositeSbtTrs = slsSbt->findBestSbt( cu->cs->area, (uint32_t)( curPuSse >> slShift ) );
      histBestSbt = ( compositeSbtTrs >> 0 ) & 0xff;
      histBestTrs = ( compositeSbtTrs >> 8 ) & 0xff;
      // 特殊情况,加载SBT时跳过SBT
      if( m_pcInterSearch->getSkipSbtAll() && CU::isSbtMode( histBestSbt ) ) //special case, skip SBT when loading SBT
      {
        histBestSbt = 0; //try DCT2
      }
      m_pcInterSearch->setHistBestTrs( histBestSbt, histBestTrs );
    }
  }

  {// EMT loop
    if( reloadCU )
    {
      if( bestCost == bestCS->cost ) //The first EMT pass didn't become the bestCS, so we clear the TUs generated
      {
        tempCS->clearTUs();
      }
      else if( false == swapped )
      {
        tempCS->initStructData( encTestMode.qp );
        tempCS->copyStructure( *bestCS, partitioner.chType );
        tempCS->getPredBuf().copyFrom( bestCS->getPredBuf() );
        bestCost = bestCS->cost;
        cu       = tempCS->getCU( partitioner.chType );
        swapped = true;
      }
      else
      {
        tempCS->clearTUs();
        bestCost = bestCS->cost;
        cu       = tempCS->getCU( partitioner.chType );
      }

      //we need to restart the distortion for the new tempCS, the bit count and the cost
      //我们需要为新的tempCS重新开始失真,比特数和成本
      tempCS->dist     = 0;
      tempCS->fracBits = 0;
      tempCS->cost     = MAX_DOUBLE;
      tempCS->costDbOffset = 0;
    }

    reloadCU    = true; // enable cu reloading
    cu->skip    = false;
    cu->sbtInfo = 0;

    const bool skipResidual = residualPass == 1;
    //跳过残差编码(Skip模式)或历史上没有和当前相同SSE的SBT模式或者历史上最佳模式是MTS或DCT-2
    if( skipResidual || histBestSbt == MAX_UCHAR || !CU::isSbtMode( histBestSbt ) )
    {
    //编码残差并计算CU的RD Cost
    m_pcInterSearch->encodeResAndCalcRdInterCU( *tempCS, partitioner, skipResidual );
    if (tempCS->slice->getSPS()->getUseColorTrans())
    {
      bestCS->tmpColorSpaceCost = tempCS->tmpColorSpaceCost;
      bestCS->firstColorSpaceSelected = tempCS->firstColorSpaceSelected;
    }
    numRDOTried += mtsAllowed ? 2 : 1;
    xEncodeDontSplit( *tempCS, partitioner );

    xCheckDQP( *tempCS, partitioner );
#if JVET_Q0267_RESET_CHROMA_QP_OFFSET
    xCheckChromaQPOffset( *tempCS, partitioner );
#endif


    if( NULL != bestHasNonResi && (bestCostInternal > tempCS->cost) )
    {
      bestCostInternal = tempCS->cost;
      if (!(tempCS->getPU(partitioner.chType)->ciipFlag))
      *bestHasNonResi  = !cu->rootCbf;
    }

    if (cu->rootCbf == false)
    {
      if (tempCS->getPU(partitioner.chType)->ciipFlag)
      {
        tempCS->cost = MAX_DOUBLE;
        tempCS->costDbOffset = 0;
        return;
      }
    }
    currBestCost = tempCS->cost;
    sbtOffCost = tempCS->cost;
    sbtOffDist = tempCS->dist;
    sbtOffRootCbf = cu->rootCbf;
    //设置当前最佳变换模式(MTS或者DCT-2)和变换类型
    currBestSbt = CU::getSbtInfo(cu->firstTU->mtsIdx[COMPONENT_Y] > MTS_SKIP ? SBT_OFF_MTS : SBT_OFF_DCT, 0);
    currBestTrs = cu->firstTU->mtsIdx[COMPONENT_Y];

#if WCG_EXT
    DTRACE_MODE_COST( *tempCS, m_pcRdCost->getLambda( true ) );
#else
    DTRACE_MODE_COST( *tempCS, m_pcRdCost->getLambda() );
#endif
    xCheckBestMode( tempCS, bestCS, partitioner, encTestMode );

    }

    uint8_t numSbtRdo = CU::numSbtModeRdo( sbtAllowed );
    //early termination if all SBT modes are not allowed 如果不允许所有SBT模式,则提前终止
    //normative
    if( !sbtAllowed || skipResidual )
    {
      numSbtRdo = 0;
    }
    //fast algorithm
    //快速算法:存在历史最佳SBT模式但是最终选择的模式不是SBT模式
    if( ( histBestSbt != MAX_UCHAR && !CU::isSbtMode( histBestSbt ) ) || m_pcInterSearch->getSkipSbtAll() )
    {
      numSbtRdo = 0;
    }
    //如果当前PU关闭SBT的Cost大于最佳Cost*th,则跳过SBT的RDO过程,将numSbtRdo设置为0
    if( bestCost != MAX_DOUBLE && sbtOffCost != MAX_DOUBLE )
    {
      double th = 1.07;
      if( !( prevBestSbt == 0 || m_sbtCostSave[0] == MAX_DOUBLE ) )
      {
        //m_sbtCostSave[0] = sbtOffCost;上一次关闭SBT的Cost
        //m_sbtCostSave[1] = currBestCost;上次最佳的Cost
        assert( m_sbtCostSave[1] <= m_sbtCostSave[0] );
        th *= ( m_sbtCostSave[0] / m_sbtCostSave[1] );
      }
      if( sbtOffCost > bestCost * th )
      {
        numSbtRdo = 0;
      }
    }
    //当SbtOffCost小于某一阈值的时候,跳过SBT的RDO过程
    if( !sbtOffRootCbf && sbtOffCost != MAX_DOUBLE )
    {
      double th = Clip3( 0.05, 0.55, ( 27 - cu->qp ) * 0.02 + 0.35 );
      if( sbtOffCost < m_pcRdCost->calcRdCost( ( cu->lwidth() * cu->lheight() ) << SCALE_BITS, 0 ) * th )
      {
        numSbtRdo = 0;
      }
    }
    //当历史最佳SBT模式存在且可用时,将numSbtRdo置1,仅对这一种SBT模式进行RD Cost的计算
    if( histBestSbt != MAX_UCHAR && numSbtRdo != 0 )
    {
      numSbtRdo = 1;
      m_pcInterSearch->initSbtRdoOrder( CU::getSbtMode( CU::getSbtIdx( histBestSbt ), CU::getSbtPos( histBestSbt ) ) );
    }

    //遍历numSbtRdo种SBT模式
    for( int sbtModeIdx = 0; sbtModeIdx < numSbtRdo; sbtModeIdx++ )
    {
      uint8_t sbtMode = m_pcInterSearch->getSbtRdoOrder( sbtModeIdx );
      uint8_t sbtIdx = CU::getSbtIdxFromSbtMode( sbtMode );
      uint8_t sbtPos = CU::getSbtPosFromSbtMode( sbtMode );

      //fast algorithm (early skip, save & load)
      //快速算法(提前跳过,保存和加载)
      if( histBestSbt == MAX_UCHAR )
      {
        //快速算法,提前跳过SBT(返回0/1/2/3,表示跳过当前SBT模式)
        uint8_t skipCode = m_pcInterSearch->skipSbtByRDCost( cu->lwidth(), cu->lheight(), cu->mtDepth, sbtIdx, sbtPos, bestCS->cost, sbtOffDist, sbtOffCost, sbtOffRootCbf );
        if( skipCode != MAX_UCHAR )
        {
          continue;
        }

        //比较当前SBT模式与前一个相同划分方式的SBT模式的Est失真
        if( sbtModeIdx > 0 )
        {
          uint8_t prevSbtMode = m_pcInterSearch->getSbtRdoOrder( sbtModeIdx - 1 );//获得前一个SBT模式
          //make sure the prevSbtMode is the same size as the current SBT mode (otherwise the estimated dist may not be comparable)
          //确保prevSbtMode与当前SBT模式划分后的尺寸相同(否则估计的dist可能无法比较)
          if( CU::isSameSbtSize( prevSbtMode, sbtMode ) )
          {
            Distortion currEstDist = m_pcInterSearch->getEstDistSbt( sbtMode );
            Distortion prevEstDist = m_pcInterSearch->getEstDistSbt( prevSbtMode );
            if( currEstDist > prevEstDist * 1.15 )
            {
              continue;
            }
          }
        }
      }

      //init tempCS and TU
      //初始化tempCS和TU
      if( bestCost == bestCS->cost ) //The first EMT pass didn't become the bestCS, so we clear the TUs generated
      {  //第一次EMT过程并没有成为bestCS,所以我们清除了生成的TUs
        tempCS->clearTUs();
      }
      else if( false == swapped )
      {
        tempCS->initStructData( encTestMode.qp );
        tempCS->copyStructure( *bestCS, partitioner.chType );
        tempCS->getPredBuf().copyFrom( bestCS->getPredBuf() );
        bestCost = bestCS->cost;
        cu = tempCS->getCU( partitioner.chType );
        swapped = true;
      }
      else
      {
        tempCS->clearTUs();
        bestCost = bestCS->cost;
        cu = tempCS->getCU( partitioner.chType );
      }

      //we need to restart the distortion for the new tempCS, the bit count and the cost
      //我们需要为新的tempCS重新开始失真,比特数和成本
      tempCS->dist = 0;
      tempCS->fracBits = 0;
      tempCS->cost = MAX_DOUBLE;
      cu->skip = false;

      //set SBT info
      //设置SBT信息
      cu->setSbtIdx( sbtIdx );
      cu->setSbtPos( sbtPos );

      //try residual coding
      //尝试残差编码
      m_pcInterSearch->encodeResAndCalcRdInterCU( *tempCS, partitioner, skipResidual );
      if (tempCS->slice->getSPS()->getUseColorTrans())
      {
        bestCS->tmpColorSpaceCost = tempCS->tmpColorSpaceCost;
        bestCS->firstColorSpaceSelected = tempCS->firstColorSpaceSelected;
      }
      numRDOTried++;

      xEncodeDontSplit( *tempCS, partitioner );

      xCheckDQP( *tempCS, partitioner );
#if JVET_Q0267_RESET_CHROMA_QP_OFFSET
      xCheckChromaQPOffset( *tempCS, partitioner );
#endif

      if( NULL != bestHasNonResi && ( bestCostInternal > tempCS->cost ) )
      {
        bestCostInternal = tempCS->cost;
        if( !( tempCS->getPU( partitioner.chType )->ciipFlag ) )
          *bestHasNonResi = !cu->rootCbf;
      }
      //保存当前最佳Cost和SBT信息
      if( tempCS->cost < currBestCost )
      {
        currBestSbt = cu->sbtInfo;
        currBestTrs = tempCS->tus[cu->sbtInfo ? cu->getSbtPos() : 0]->mtsIdx[COMPONENT_Y];
        assert( currBestTrs == 0 || currBestTrs == 1 );
        currBestCost = tempCS->cost;
      }

#if WCG_EXT
      DTRACE_MODE_COST( *tempCS, m_pcRdCost->getLambda( true ) );
#else
      DTRACE_MODE_COST( *tempCS, m_pcRdCost->getLambda() );
#endif
      xCheckBestMode( tempCS, bestCS, partitioner, encTestMode );
    }//end numSbtRdo loop

    if( bestCostBegin != bestCS->cost )
    {
      m_sbtCostSave[0] = sbtOffCost;
      m_sbtCostSave[1] = currBestCost;
    }
  } //end emt loop

  if( histBestSbt == MAX_UCHAR && doPreAnalyzeResi && numRDOTried > 1 )
  {
    //保存最佳的变换模式
    slsSbt->saveBestSbt( cu->cs->area, (uint32_t)( curPuSse >> slShift ), currBestSbt, currBestTrs );
  }
  tempCS->cost = currBestCost;
  if( ETM_INTER_ME == encTestMode.type )
  {
    if( equBcwCost != NULL )
    {
      if( tempCS->cost < ( *equBcwCost ) && cu->BcwIdx == BCW_DEFAULT )
      {
        ( *equBcwCost ) = tempCS->cost;
      }
    }
    else
    {
      CHECK( equBcwCost == NULL, "equBcwCost == NULL" );
    }
    if( tempCS->slice->getCheckLDC() && !cu->imv && cu->BcwIdx != BCW_DEFAULT && tempCS->cost < m_bestBcwCost[1] )
    {
      if( tempCS->cost < m_bestBcwCost[0] )
      {
        m_bestBcwCost[1] = m_bestBcwCost[0];
        m_bestBcwCost[0] = tempCS->cost;
        m_bestBcwIdx[1] = m_bestBcwIdx[0];
        m_bestBcwIdx[0] = cu->BcwIdx;
      }
      else
      {
        m_bestBcwCost[1] = tempCS->cost;
        m_bestBcwIdx[1] = cu->BcwIdx;
      }
    }
  }
}

La función CheckAllowSbt se utiliza principalmente para comprobar si la CU actual puede utilizar la tecnología SBT:

const uint8_t CodingUnit::checkAllowedSbt() const
{
  if( !slice->getSPS()->getUseSBT() )
  {
	// SPS层没有开启SBT
    return 0;
  }

  //check on prediction mode
  // 检查预测模式:帧内预测、IBC、PLT模式不使用SBT
  if (predMode == MODE_INTRA || predMode == MODE_IBC || predMode == MODE_PLT ) //intra, palette or IBC
  {
    return 0;
  }
  if( firstPU->ciipFlag )
  {
    return 0;
  }
#if !JVET_Q0806
  if( triangle )
  {
    return 0;
  }
#endif

  uint8_t sbtAllowed = 0;
  int cuWidth  = lwidth();//Cu宽度
  int cuHeight = lheight();//Cu高度
  bool allow_type[NUMBER_SBT_IDX];
  memset( allow_type, false, NUMBER_SBT_IDX * sizeof( bool ) );

  //parameter
  // 参数:最大和最小支持SBT的变换块尺寸
  int maxSbtCUSize = cs->sps->getMaxTbSize();
  int minSbtCUSize = 1 << ( MIN_CU_LOG2 + 1 );//8

  //check on size
  // 检查尺寸
  if( cuWidth > maxSbtCUSize || cuHeight > maxSbtCUSize )
  {
    return 0;
  }

  allow_type[SBT_VER_HALF] = cuWidth  >= minSbtCUSize;//是否允许2:2垂直划分
  allow_type[SBT_HOR_HALF] = cuHeight >= minSbtCUSize;//是否允许2:2水平划分
  allow_type[SBT_VER_QUAD] = cuWidth  >= ( minSbtCUSize << 1 );//是否允许1:3/3:1垂直划分
  allow_type[SBT_HOR_QUAD] = cuHeight >= ( minSbtCUSize << 1 );//是否允许1:3/3:1水平划分

  for( int i = 0; i < NUMBER_SBT_IDX; i++ )
  {
    sbtAllowed += (uint8_t)allow_type[i] << i;
  }

  return sbtAllowed;
}

La función de calcMinDistSbt es la siguiente:

(1) Calcule la distorsión SSE entre el valor predicho y el valor original de todo el bloque

(2) Calcule la distorsión ponderada del SSE entre el valor pronosticado y el valor original de los ocho modos SBT que deben codificarse y el subbloque que no necesita codificarse: SSE_SBT = SSE (Código) / 16 + SSE (Uncode) , y siga Ordenar de menor a mayor

void InterSearch::calcMinDistSbt( CodingStructure &cs, const CodingUnit& cu, const uint8_t sbtAllowed )
{
  if( !sbtAllowed ) //不允许使用SBT时
  {
    m_estMinDistSbt[NUMBER_SBT_MODE] = 0;
    for( int comp = 0; comp < getNumberValidTBlocks( *cs.pcv ); comp++ )
    {
      const ComponentID compID = ComponentID( comp );
      CPelBuf pred = cs.getPredBuf( compID );
      CPelBuf org  = cs.getOrgBuf( compID );
      m_estMinDistSbt[NUMBER_SBT_MODE] += m_pcRdCost->getDistPart( org, pred, cs.sps->getBitDepth( toChannelType( compID ) ), compID, DF_SSE );
    }
    return;
  }

  //SBT fast algorithm 2.1 : estimate a minimum RD cost of a SBT mode based on the luma distortion of uncoded part and coded part (assuming distorted can be reduced to 1/16);
  //                         if this cost is larger than the best cost, no need to try a specific SBT mode
  //SBT快速算法2.1:根据未编码部分和编码部分的luma失真估计SBT模式的最小RD Cost(假设失真可以减少到1/16);
  //                如果该成本大于最佳成本,则无需尝试特定的SBT模式
  int cuWidth  = cu.lwidth();
  int cuHeight = cu.lheight();
  int numPartX = cuWidth  >= 16 ? 4 : ( cuWidth  == 4 ? 1 : 2 );
  int numPartY = cuHeight >= 16 ? 4 : ( cuHeight == 4 ? 1 : 2 );
  Distortion dist[4][4];
  memset( dist, 0, sizeof( Distortion ) * 16 );

  for( uint32_t c = 0; c < getNumberValidTBlocks( *cs.pcv ); c++ )
  {
    const ComponentID compID   = ComponentID( c );
    const CompArea&   compArea = cu.blocks[compID];
    const CPelBuf orgPel  = cs.getOrgBuf( compArea );
    const CPelBuf predPel = cs.getPredBuf( compArea );
    int lengthX = compArea.width / numPartX;
    int lengthY = compArea.height / numPartY;
    int strideOrg  = orgPel.stride;
    int stridePred = predPel.stride;
    uint32_t   uiShift = DISTORTION_PRECISION_ADJUSTMENT( ( *cs.sps.getBitDepth( toChannelType( compID ) ) - 8 ) << 1 );
    Intermediate_Int iTemp;

    //calc distY of 16 sub parts
	//计算16个子部分的距离
    for( int j = 0; j < numPartY; j++ )
    {
      for( int i = 0; i < numPartX; i++ )
      {
        int posX = i * lengthX;
        int posY = j * lengthY;
        const Pel* ptrOrg  = orgPel.bufAt( posX, posY );
        const Pel* ptrPred = predPel.bufAt( posX, posY );
        Distortion uiSum = 0;
        for( int n = 0; n < lengthY; n++ )
        {
          for( int m = 0; m < lengthX; m++ )
          {
            iTemp = ptrOrg[m] - ptrPred[m];
            uiSum += Distortion( ( iTemp * iTemp ) >> uiShift );
          }
          ptrOrg += strideOrg;//加个CU的长度
          ptrPred += stridePred;
        }
        if( isChroma( compID ) )
        {
          uiSum = (Distortion)( uiSum * m_pcRdCost->getChromaWeight() );
        }
        dist[j][i] += uiSum;
      }
    }
  }

  // SSE of a CU
  // 计算出整个CU的SSE
  m_estMinDistSbt[NUMBER_SBT_MODE] = 0;
  for( int j = 0; j < numPartY; j++ )
  {
    for( int i = 0; i < numPartX; i++ )
    {
      m_estMinDistSbt[NUMBER_SBT_MODE] += dist[j][i];
    }
  }
  //init per-mode dist
  // 初始化每个模式的失真
  for( int i = SBT_VER_H0; i < NUMBER_SBT_MODE; i++ )
  {
    m_estMinDistSbt[i] = std::numeric_limits<uint64_t>::max();
  }

  //SBT fast algorithm 1: not try SBT if the residual is too small to compensate bits for encoding residual info
  //SBT快速算法1:如果残差太小,无法补偿编码残差信息的比特数,则不要尝试SBT
  uint64_t minNonZeroResiFracBits = 12 << SCALE_BITS;
  if( m_pcRdCost->calcRdCost( 0, m_estMinDistSbt[NUMBER_SBT_MODE] ) < m_pcRdCost->calcRdCost( minNonZeroResiFracBits, 0 ) )
  {
    m_skipSbtAll = true;
    return;
  }

  //derive estimated minDist of SBT = zero-residual part distortion + non-zero residual part distortion / 16
  //推导出SBT的估计值minDist=零残差部分失真+非零残差部分失真/16
  int shift = 5;
  Distortion distResiPart = 0, distNoResiPart = 0;

  //如果允许垂直2:2划分
  if( CU::targetSbtAllowed( SBT_VER_HALF, sbtAllowed ) )
  {
    int offsetResiPart = 0;
    int offsetNoResiPart = numPartX / 2;
    distResiPart = distNoResiPart = 0;
    assert( numPartX >= 2 );
    for( int j = 0; j < numPartY; j++ )
    {
      for( int i = 0; i < numPartX / 2; i++ )
      {
        distResiPart   += dist[j][i + offsetResiPart];
        distNoResiPart += dist[j][i + offsetNoResiPart];
      }
    }
    m_estMinDistSbt[SBT_VER_H0] = ( distResiPart >> shift ) + distNoResiPart;
    m_estMinDistSbt[SBT_VER_H1] = ( distNoResiPart >> shift ) + distResiPart;
  }

  if( CU::targetSbtAllowed( SBT_HOR_HALF, sbtAllowed ) )
  {
    int offsetResiPart = 0;
    int offsetNoResiPart = numPartY / 2;
    assert( numPartY >= 2 );
    distResiPart = distNoResiPart = 0;
    for( int j = 0; j < numPartY / 2; j++ )
    {
      for( int i = 0; i < numPartX; i++ )
      {
        distResiPart   += dist[j + offsetResiPart][i];
        distNoResiPart += dist[j + offsetNoResiPart][i];
      }
    }
    m_estMinDistSbt[SBT_HOR_H0] = ( distResiPart >> shift ) + distNoResiPart;
    m_estMinDistSbt[SBT_HOR_H1] = ( distNoResiPart >> shift ) + distResiPart;
  }

  if( CU::targetSbtAllowed( SBT_VER_QUAD, sbtAllowed ) )
  {
    assert( numPartX == 4 );
    m_estMinDistSbt[SBT_VER_Q0] = m_estMinDistSbt[SBT_VER_Q1] = 0;
    for( int j = 0; j < numPartY; j++ )
    {
      m_estMinDistSbt[SBT_VER_Q0] += dist[j][0] + ( ( dist[j][1] + dist[j][2] + dist[j][3] ) << shift );
      m_estMinDistSbt[SBT_VER_Q1] += dist[j][3] + ( ( dist[j][0] + dist[j][1] + dist[j][2] ) << shift );
    }
    m_estMinDistSbt[SBT_VER_Q0] = m_estMinDistSbt[SBT_VER_Q0] >> shift;
    m_estMinDistSbt[SBT_VER_Q1] = m_estMinDistSbt[SBT_VER_Q1] >> shift;
  }

  if( CU::targetSbtAllowed( SBT_HOR_QUAD, sbtAllowed ) )
  {
    assert( numPartY == 4 );
    m_estMinDistSbt[SBT_HOR_Q0] = m_estMinDistSbt[SBT_HOR_Q1] = 0;
    for( int i = 0; i < numPartX; i++ )
    {
      m_estMinDistSbt[SBT_HOR_Q0] += dist[0][i] + ( ( dist[1][i] + dist[2][i] + dist[3][i] ) << shift );
      m_estMinDistSbt[SBT_HOR_Q1] += dist[3][i] + ( ( dist[0][i] + dist[1][i] + dist[2][i] ) << shift );
    }
    m_estMinDistSbt[SBT_HOR_Q0] = m_estMinDistSbt[SBT_HOR_Q0] >> shift;
    m_estMinDistSbt[SBT_HOR_Q1] = m_estMinDistSbt[SBT_HOR_Q1] >> shift;
  }

  //SBT fast algorithm 5: try N SBT modes with the lowest distortion
  //SBT快速算法5:尝试N个失真最低的SBT模式
  Distortion temp[NUMBER_SBT_MODE];
  memcpy( temp, m_estMinDistSbt, sizeof( Distortion ) * NUMBER_SBT_MODE );
  memset( m_sbtRdoOrder, 255, NUMBER_SBT_MODE );
  //从二分划分的4种模式中找出两种SSE最小的模式
  int startIdx = 0, numRDO;
  numRDO = CU::targetSbtAllowed( SBT_VER_HALF, sbtAllowed ) + CU::targetSbtAllowed( SBT_HOR_HALF, sbtAllowed );
  numRDO = std::min( ( numRDO << 1 ), SBT_NUM_RDO );
  for( int i = startIdx; i < startIdx + numRDO; i++ )
  {
    Distortion minDist = std::numeric_limits<uint64_t>::max();
    for( int n = SBT_VER_H0; n <= SBT_HOR_H1; n++ )
    { //寻找四种二分划分模式中最小失真的模式
      if( temp[n] < minDist )
      {
        minDist = temp[n];
        m_sbtRdoOrder[i] = n;
      }
    }
	//将找到的最小失真的模式的临时失真值修改为max值
    temp[m_sbtRdoOrder[i]] = std::numeric_limits<uint64_t>::max();
  }

  //从四分划分的四种模式中选择两种SSE最小的模式
  startIdx += numRDO;
  numRDO = CU::targetSbtAllowed( SBT_VER_QUAD, sbtAllowed ) + CU::targetSbtAllowed( SBT_HOR_QUAD, sbtAllowed );
  numRDO = std::min( ( numRDO << 1 ), SBT_NUM_RDO );
  for( int i = startIdx; i < startIdx + numRDO; i++ )
  {
    Distortion minDist = std::numeric_limits<uint64_t>::max();
    for( int n = SBT_VER_Q0; n <= SBT_HOR_Q1; n++ )
    {
      if( temp[n] < minDist )
      {
        minDist = temp[n];
        m_sbtRdoOrder[i] = n;
      }
    }
    temp[m_sbtRdoOrder[i]] = std::numeric_limits<uint64_t>::max();
  }
}

La función skipSbtByRDCost implica el algoritmo rápido de SBT:

(1) Estime el costo RD mínimo del modo SBT basado en la distorsión de luma de la parte no codificada y la parte codificada (suponiendo que la distorsión se puede reducir a 1/16); si el costo es mayor que el costo óptimo, no no es necesario probar un modo SBT específico

(2) Omita SBT cuando el residual es demasiado pequeño

(3) Omita SBT cuando el costo de RD estimado sea mayor que el mejor costo

uint8_t InterSearch::skipSbtByRDCost( int width, int height, int mtDepth, uint8_t sbtIdx, uint8_t sbtPos, double bestCost, Distortion distSbtOff, double costSbtOff, bool rootCbfSbtOff )
{
  int sbtMode = CU::getSbtMode( sbtIdx, sbtPos );

  //SBT fast algorithm 2.2 : estimate a minimum RD cost of a SBT mode based on the luma distortion of uncoded part and coded part (assuming distorted can be reduced to 1/16);
  //                         if this cost is larger than the best cost, no need to try a specific SBT mode
  //SBT快速算法2.2:根据未编码部分和编码部分的luma失真估计SBT模式的最小RD成本(假设失真可以减少到1/16);
  //                如果该Cost大于最佳Cost,则无需尝试特定的SBT模式
  if( m_pcRdCost->calcRdCost( 11 << SCALE_BITS, m_estMinDistSbt[sbtMode] ) > bestCost )
  {
    return 0; //early skip type 0 提前退出
  }

  if( costSbtOff != MAX_DOUBLE )
  {
    if( !rootCbfSbtOff )
    {
      //SBT fast algorithm 3: skip SBT when the residual is too small (estCost is more accurate than fast algorithm 1, counting PU mode bits)
	  //SBT快速算法3:当残差太小时跳过SBT(estCost比快速算法1更精确,计算PU模式位)
      uint64_t minNonZeroResiFracBits = 10 << SCALE_BITS;//最小非零残差编码的比特数
      Distortion distResiPart;
      if( sbtIdx == SBT_VER_HALF || sbtIdx == SBT_HOR_HALF )
      {
        distResiPart = (Distortion)( ( ( m_estMinDistSbt[NUMBER_SBT_MODE] - m_estMinDistSbt[sbtMode] ) * 9 ) >> 4 );
      }
      else
      {
        distResiPart = (Distortion)( ( ( m_estMinDistSbt[NUMBER_SBT_MODE] - m_estMinDistSbt[sbtMode] ) * 3 ) >> 3 );
      }

      double estCost = ( costSbtOff - m_pcRdCost->calcRdCost( 0 << SCALE_BITS, distSbtOff ) ) + m_pcRdCost->calcRdCost( minNonZeroResiFracBits, m_estMinDistSbt[sbtMode] + distResiPart );
      if( estCost > costSbtOff )
      {
        return 1;
      }
      if( estCost > bestCost )
      {
        return 2;
      }
    }
    else
    {
      //SBT fast algorithm 4: skip SBT when an estimated RD cost is larger than the bestCost
	  //SBT快速算法4:当估计的RD成本大于最佳成本时跳过SBT
      double weight = sbtMode > SBT_HOR_H1 ? 0.4 : 0.6;
      double estCost = ( ( costSbtOff - m_pcRdCost->calcRdCost( 0 << SCALE_BITS, distSbtOff ) ) * weight ) + m_pcRdCost->calcRdCost( 0 << SCALE_BITS, m_estMinDistSbt[sbtMode] );
      if( estCost > bestCost )
      {
        return 3;
      }
    }
  }
  return MAX_UCHAR;
}

 

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