上一篇文章主要讨论了RC的总体框架，本文开始分析具体的代码实现细节。分析的顺序按照总体框架来，即初始化-->更新。
（1）m_cRateCtrl.init()
#if M0036_RC_IMPROVEMENT
Void TEncRateCtrl::init( Int totalFrames, Int targetBitrate, Int frameRate, Int GOPSize, Int picWidth, Int picHeight, Int LCUWidth, Int LCUHeight, Int keepHierBits, Bool useLCUSeparateModel, GOPEntry GOPList[MAX_GOP] )
#else
Void TEncRateCtrl::init( Int totalFrames, Int targetBitrate, Int frameRate, Int GOPSize, Int picWidth, Int picHeight, Int LCUWidth, Int LCUHeight, Bool keepHierBits, Bool useLCUSeparateModel, GOPEntry GOPList[MAX_GOP] )
#endif
{
destroy(); Bool isLowdelay = true;
for ( Int i=0; i<GOPSize-1; i++ )
{
if ( GOPList[i].m_POC > GOPList[i+1].m_POC ) //!< 判断是否为lowdelay配置
{
isLowdelay = false;
break;
}
} Int numberOfLevel = 1;
#if M0036_RC_IMPROVEMENT
Int adaptiveBit = 0;
if ( keepHierBits > 0 )
#else
if ( keepHierBits ) //!< hierarchical structure
#endif
{
numberOfLevel = Int( log((Double)GOPSize)/log(2.0) + 0.5 ) + 1;
}
if ( !isLowdelay && GOPSize == 8 )
{
numberOfLevel = Int( log((Double)GOPSize)/log(2.0) + 0.5 ) + 1;
}
numberOfLevel++; // intra picture
numberOfLevel++; // non-reference picture Int* bitsRatio; //!< 每一幅picture的权值
bitsRatio = new Int[ GOPSize ];
for ( Int i=0; i<GOPSize; i++ )
{
bitsRatio[i] = 10;
if ( !GOPList[i].m_refPic )
{
bitsRatio[i] = 2;
}
} #if M0036_RC_IMPROVEMENT
if ( keepHierBits > 0 )
#else
if ( keepHierBits )
#endif
{
Double bpp = (Double)( targetBitrate / (Double)( frameRate*picWidth*picHeight ) ); //!< K0103 式子（3）
if ( GOPSize == 4 && isLowdelay ) //!< K0103 Table 1
{
if ( bpp > 0.2 )
{
bitsRatio[0] = 2;
bitsRatio[1] = 3;
bitsRatio[2] = 2;
bitsRatio[3] = 6;
}
else if( bpp > 0.1 )
{
bitsRatio[0] = 2;
bitsRatio[1] = 3;
bitsRatio[2] = 2;
bitsRatio[3] = 10;
}
else if ( bpp > 0.05 )
{
bitsRatio[0] = 2;
bitsRatio[1] = 3;
bitsRatio[2] = 2;
bitsRatio[3] = 12;
}
else
{
bitsRatio[0] = 2;
bitsRatio[1] = 3;
bitsRatio[2] = 2;
bitsRatio[3] = 14;
}
#if M0036_RC_IMPROVEMENT
if ( keepHierBits == 2 )
{
adaptiveBit = 1;
}
#endif
}
else if ( GOPSize == 8 && !isLowdelay ) //!< K0103 Table 2
{
if ( bpp > 0.2 )
{
bitsRatio[0] = 15;
bitsRatio[1] = 5;
bitsRatio[2] = 4;
bitsRatio[3] = 1;
bitsRatio[4] = 1;
bitsRatio[5] = 4;
bitsRatio[6] = 1;
bitsRatio[7] = 1;
}
else if ( bpp > 0.1 )
{
bitsRatio[0] = 20;
bitsRatio[1] = 6;
bitsRatio[2] = 4;
bitsRatio[3] = 1;
bitsRatio[4] = 1;
bitsRatio[5] = 4;
bitsRatio[6] = 1;
bitsRatio[7] = 1;
}
else if ( bpp > 0.05 )
{
bitsRatio[0] = 25;
bitsRatio[1] = 7;
bitsRatio[2] = 4;
bitsRatio[3] = 1;
bitsRatio[4] = 1;
bitsRatio[5] = 4;
bitsRatio[6] = 1;
bitsRatio[7] = 1;
}
else
{
bitsRatio[0] = 30;
bitsRatio[1] = 8;
bitsRatio[2] = 4;
bitsRatio[3] = 1;
bitsRatio[4] = 1;
bitsRatio[5] = 4;
bitsRatio[6] = 1;
bitsRatio[7] = 1;
}
#if M0036_RC_IMPROVEMENT
if ( keepHierBits == 2 )
{
adaptiveBit = 2;
}
#endif
}
else
{
#if M0036_RC_IMPROVEMENT
printf( "\n hierarchical bit allocation is not support for the specified coding structure currently.\n" );
#else
printf( "\n hierarchical bit allocation is not support for the specified coding structure currently." );
#endif
}
} Int* GOPID2Level = new int[ GOPSize ]; //!< 根据在GOP中的id确定所属的分层
for ( int i=0; i<GOPSize; i++ )
{
GOPID2Level[i] = 1;
if ( !GOPList[i].m_refPic )
{
GOPID2Level[i] = 2;
}
}
#if M0036_RC_IMPROVEMENT
if ( keepHierBits > 0 )
#else
if ( keepHierBits )
#endif
{
if ( GOPSize == 4 && isLowdelay )
{
GOPID2Level[0] = 3;
GOPID2Level[1] = 2;
GOPID2Level[2] = 3;
GOPID2Level[3] = 1;
}
else if ( GOPSize == 8 && !isLowdelay )
{
GOPID2Level[0] = 1;
GOPID2Level[1] = 2;
GOPID2Level[2] = 3;
GOPID2Level[3] = 4;
GOPID2Level[4] = 4;
GOPID2Level[5] = 3;
GOPID2Level[6] = 4;
GOPID2Level[7] = 4;
}
} if ( !isLowdelay && GOPSize == 8 )
{
GOPID2Level[0] = 1;
GOPID2Level[1] = 2;
GOPID2Level[2] = 3;
GOPID2Level[3] = 4;
GOPID2Level[4] = 4;
GOPID2Level[5] = 3;
GOPID2Level[6] = 4;
GOPID2Level[7] = 4;
} m_encRCSeq = new TEncRCSeq;
#if M0036_RC_IMPROVEMENT
m_encRCSeq->create( totalFrames, targetBitrate, frameRate, GOPSize, picWidth, picHeight, LCUWidth, LCUHeight, numberOfLevel, useLCUSeparateModel, adaptiveBit );
#else //!< 序列级RC参数的初始化
m_encRCSeq->create( totalFrames, targetBitrate, frameRate, GOPSize, picWidth, picHeight, LCUWidth, LCUHeight, numberOfLevel, useLCUSeparateModel );
#endif
m_encRCSeq->initBitsRatio( bitsRatio ); //!< 每幅picture的权值
m_encRCSeq->initGOPID2Level( GOPID2Level );
m_encRCSeq->initPicPara(/*TRCParameter* picPara = NULL*/); //!< alpha, beta
if ( useLCUSeparateModel )
{
m_encRCSeq->initLCUPara(); //!< alpha，beta初始化
} delete[] bitsRatio;
delete[] GOPID2Level;
}
分析该函数中调用的比较重要的若干个子函数：
m_encRCSeq->create()
#if M0036_RC_IMPROVEMENT
Void TEncRCSeq::create( Int totalFrames, Int targetBitrate, Int frameRate, Int GOPSize, Int picWidth, Int picHeight, Int LCUWidth, Int LCUHeight, Int numberOfLevel, Bool useLCUSeparateModel, Int adaptiveBit )
#else
Void TEncRCSeq::create( Int totalFrames, Int targetBitrate, Int frameRate, Int GOPSize, Int picWidth, Int picHeight, Int LCUWidth, Int LCUHeight, Int numberOfLevel, Bool useLCUSeparateModel )
#endif
{
destroy();
m_totalFrames = totalFrames;
m_targetRate = targetBitrate;
m_frameRate = frameRate;
m_GOPSize = GOPSize;
m_picWidth = picWidth;
m_picHeight = picHeight;
m_LCUWidth = LCUWidth;
m_LCUHeight = LCUHeight;
m_numberOfLevel = numberOfLevel;
m_useLCUSeparateModel = useLCUSeparateModel; m_numberOfPixel = m_picWidth * m_picHeight;
m_targetBits = (Int64)m_totalFrames * (Int64)m_targetRate / (Int64)m_frameRate; //!< 序列总码率（输出码流总大小）
m_seqTargetBpp = (Double)m_targetRate / (Double)m_frameRate / (Double)m_numberOfPixel; //!< m_targetRate--bps //!< m_alphaUpdata和m_betaUpdate这两个变量用于在接下来更新lamda的参数值
if ( m_seqTargetBpp < 0.03 ) //!< (..., 0.03)
{
m_alphaUpdate = 0.01;
m_betaUpdate = 0.005;
}
else if ( m_seqTargetBpp < 0.08 ) //!< [0.03, 0.08)
{
m_alphaUpdate = 0.05;
m_betaUpdate = 0.025;
}
#if M0036_RC_IMPROVEMENT
else if ( m_seqTargetBpp < 0.2 )
{
m_alphaUpdate = 0.1;
m_betaUpdate = 0.05;
}
else if ( m_seqTargetBpp < 0.5 )
{
m_alphaUpdate = 0.2;
m_betaUpdate = 0.1;
}
else
{
m_alphaUpdate = 0.4;
m_betaUpdate = 0.2;
}
#else
else //!< [0.08, ...]
{
m_alphaUpdate = 0.1;
m_betaUpdate = 0.05;
}
#endif
m_averageBits = (Int)(m_targetBits / totalFrames); //!< 平均每帧占用的比特数
Int picWidthInBU = ( m_picWidth % m_LCUWidth ) == 0 ? m_picWidth / m_LCUWidth : m_picWidth / m_LCUWidth + 1;
Int picHeightInBU = ( m_picHeight % m_LCUHeight ) == 0 ? m_picHeight / m_LCUHeight : m_picHeight / m_LCUHeight + 1;
m_numberOfLCU = picWidthInBU * picHeightInBU; //!< 一帧picture中包含的LCU数目 m_bitsRatio = new Int[m_GOPSize];
for ( Int i=0; i<m_GOPSize; i++ )
{
m_bitsRatio[i] = 1;
} m_GOPID2Level = new Int[m_GOPSize];
for ( Int i=0; i<m_GOPSize; i++ )
{
m_GOPID2Level[i] = 1;
} m_picPara = new TRCParameter[m_numberOfLevel];
for ( Int i=0; i<m_numberOfLevel; i++ )
{
m_picPara[i].m_alpha = 0.0;
m_picPara[i].m_beta = 0.0;
} if ( m_useLCUSeparateModel ) //!< 每个LCU的alpha和beta都有各自的值
{
m_LCUPara = new TRCParameter*[m_numberOfLevel];
for ( Int i=0; i<m_numberOfLevel; i++ )
{
m_LCUPara[i] = new TRCParameter[m_numberOfLCU];
for ( Int j=0; j<m_numberOfLCU; j++)
{
m_LCUPara[i][j].m_alpha = 0.0;
m_LCUPara[i][j].m_beta = 0.0;
}
}
} m_framesLeft = m_totalFrames; //!< 剩余的待编码帧数
m_bitsLeft = m_targetBits; //!< 剩余可用的比特数
#if M0036_RC_IMPROVEMENT
m_adaptiveBit = adaptiveBit;
m_lastLambda = 0.0;
#endif
}
m_encRCSeq->initPicPara()
Void TEncRCSeq::initPicPara( TRCParameter* picPara )
{
assert( m_picPara != NULL ); if ( picPara == NULL ) //!< K0103 式子（10）
{
for ( Int i=0; i<m_numberOfLevel; i++ )
{
#if RATE_CONTROL_INTRA
if (i>0)
{
m_picPara[i].m_alpha = 3.2003;
m_picPara[i].m_beta = -1.367;
}
else
{
m_picPara[i].m_alpha = ALPHA;
m_picPara[i].m_beta = BETA2;
}
#else //!< 第一帧图像的参数初始化
m_picPara[i].m_alpha = 3.2003;
m_picPara[i].m_beta = -1.367;
#endif
}
}
else
{
for ( Int i=0; i<m_numberOfLevel; i++ )
{
m_picPara[i] = picPara[i];
}
}
}
（2）m_cRateCtrl.initRCGOP()
Void TEncRateCtrl::initRCGOP( Int numberOfPictures )
{
m_encRCGOP = new TEncRCGOP;
m_encRCGOP->create( m_encRCSeq, numberOfPictures );
}
Void TEncRCGOP::create( TEncRCSeq* encRCSeq, Int numPic )
{
destroy();
Int targetBits = xEstGOPTargetBits( encRCSeq, numPic ); //!< GOP level bit allocation #if M0036_RC_IMPROVEMENT
if ( encRCSeq->getAdaptiveBits() > 0 && encRCSeq->getLastLambda() > 0.1 )
{
Double targetBpp = (Double)targetBits / encRCSeq->getNumPixel();
Double basicLambda = 0.0;
Double* lambdaRatio = new Double[encRCSeq->getGOPSize()];
Double* equaCoeffA = new Double[encRCSeq->getGOPSize()];
Double* equaCoeffB = new Double[encRCSeq->getGOPSize()]; if ( encRCSeq->getAdaptiveBits() == 1 ) // for GOP size =4, low delay case
{
if ( encRCSeq->getLastLambda() < 120.0 )
{
lambdaRatio[1] = 0.725 * log( encRCSeq->getLastLambda() ) + 0.5793;
lambdaRatio[0] = 1.3 * lambdaRatio[1];
lambdaRatio[2] = 1.3 * lambdaRatio[1];
lambdaRatio[3] = 1.0;
}
else
{
lambdaRatio[0] = 5.0;
lambdaRatio[1] = 4.0;
lambdaRatio[2] = 5.0;
lambdaRatio[3] = 1.0;
}
}
else if ( encRCSeq->getAdaptiveBits() == 2 ) // for GOP size = 8, random access case
{
if ( encRCSeq->getLastLambda() < 90.0 )
{
lambdaRatio[0] = 1.0;
lambdaRatio[1] = 0.725 * log( encRCSeq->getLastLambda() ) + 0.7963;
lambdaRatio[2] = 1.3 * lambdaRatio[1];
lambdaRatio[3] = 3.25 * lambdaRatio[1];
lambdaRatio[4] = 3.25 * lambdaRatio[1];
lambdaRatio[5] = 1.3 * lambdaRatio[1];
lambdaRatio[6] = 3.25 * lambdaRatio[1];
lambdaRatio[7] = 3.25 * lambdaRatio[1];
}
else
{
lambdaRatio[0] = 1.0;
lambdaRatio[1] = 4.0;
lambdaRatio[2] = 5.0;
lambdaRatio[3] = 12.3;
lambdaRatio[4] = 12.3;
lambdaRatio[5] = 5.0;
lambdaRatio[6] = 12.3;
lambdaRatio[7] = 12.3;
}
} xCalEquaCoeff( encRCSeq, lambdaRatio, equaCoeffA, equaCoeffB, encRCSeq->getGOPSize() );
basicLambda = xSolveEqua( targetBpp, equaCoeffA, equaCoeffB, encRCSeq->getGOPSize() );
encRCSeq->setAllBitRatio( basicLambda, equaCoeffA, equaCoeffB ); delete []lambdaRatio;
delete []equaCoeffA;
delete []equaCoeffB;
}
#endif m_picTargetBitInGOP = new Int[numPic]; //!< 用于保存当前GOP中每幅picture对应的目标码率
Int i;
Int totalPicRatio = 0;
Int currPicRatio = 0;
for ( i=0; i<numPic; i++ )
{
totalPicRatio += encRCSeq->getBitRatio( i ); //!< 总权值
}
for ( i=0; i<numPic; i++ )
{
currPicRatio = encRCSeq->getBitRatio( i ); //!< 当前picture的权值
#if M0036_RC_IMPROVEMENT
m_picTargetBitInGOP[i] = (Int)( ((Double)targetBits) * currPicRatio / totalPicRatio );
#else
m_picTargetBitInGOP[i] = targetBits * currPicRatio / totalPicRatio; //!< K0103 式子（9），注意：由于是初始化，式子中的CodedGOP等于0
#endif
} m_encRCSeq = encRCSeq;
m_numPic = numPic;
m_targetBits = targetBits;
m_picLeft = m_numPic;
m_bitsLeft = m_targetBits;
}
Int TEncRCGOP::xEstGOPTargetBits( TEncRCSeq* encRCSeq, Int GOPSize )
{
Int realInfluencePicture = min( g_RCSmoothWindowSize, encRCSeq->getFramesLeft() ); //!< 获得实际的平滑窗口大小
Int averageTargetBitsPerPic = (Int)( encRCSeq->getTargetBits() / encRCSeq->getTotalFrames() ); //!< RPicArg
Int currentTargetBitsPerPic = (Int)( ( encRCSeq->getBitsLeft() - averageTargetBitsPerPic * (encRCSeq->getFramesLeft() - realInfluencePicture) ) / realInfluencePicture ); //!< TAvgPic，计算方法跟K0103不同，这里利用left的思路计算，而K0103利用coded的思路计算，但结果是一样的
Int targetBits = currentTargetBitsPerPic * GOPSize; //!< TGOP if ( targetBits < 200 )
{
targetBits = 200; // at least allocate 200 bits for one GOP
} return targetBits;
}
（未完待续...）