自适应宏块编码算法的研究

通过对H.264/AVC宏块编码类型空域相关性的大量实验分析,发现经过率失真优化而确定的宏块编码类型无论是I帧、P帧和B帧,在空间域上都具有极强的相关性。提出了采用区域方差来度量宏块编码类型的空域复杂性,并根据宏块的这些空域复杂性制定出宏块类型预测的准则。依照该预测准则,给出了一种基于宏块类型空域预测的自适应宏块编码快速算法,并在H.264/AVC验证模型JM7.6上实现。大量的实验表明,采用宏块类型空域预测的自适用宏块编码算法,减少了H.264/AVC率失真优化算法的大量无效遍历,在保持图像编码质量和压缩效率基本不变的情况下,视频图像编码速度提高了4%~33%,在一定程度上克服了H.264/AVC率失真优化算法速度慢的缺陷。     

Fast Mode Decision Method Based on Historical Information for H. 264/AVC

Mode decision based on rate-distortion optimization algorithm brings high compression efficiency to H.264/AVC. However, heavy computation load is also added to the encoder at the same time. In order to reduce the computation burden of mode decision, this paper presented a fast mode decision method based on mode information of the previously coded frame. Moreover, all coding modes were activated when scene change occurs and a scheme to detect scene change was proposed. The simulation results show that compared to the original encoder, the proposed method achieves a reduction of over 38% encoding time and keeps almost the same PSNR and bitrate for a wide range of quantization parameter.     

An improved frame-layer bit allocation scheme for H.264/AVC rate control

In this paper, we aim at improving the video quality degradation due to high motions or scene changes. An improved frame-layer bit allocation scheme for H.264/AVC rate control is proposed. First, current frame is pre-encoded in 16×16 modes with a fixed quantization parameter (QP). The frame coding complexity is then measured based on the resulting bits and peak signal-to-ratio (PSNR) in the pre-coding stage. Finally, a bit budgetis calculated for current frame according to its coding complexity and inter-frame PSNR fluctuation, combined with the buffer status. Simulation results show that, in comparison with the H.264 adopted rate control scheme, our method is more efficient to suppress the sharp PSNR drops caused by high motions and scene changes. The visual quality variations in a sequence are also relieved.     

基于H．264／AVC标准的CABAC算法研究

文章首先对H．264／AVC标准进行了简要介绍,然后分析了H．264标准中所涉及到的关键技术：帧间预测、帧内预测、DCT变换以及熵编码技术等,重点对基于上下文自适应的二进制算术熵编码（CABAC）进行了研究。在CABAC上下文模型的建立,预编码,分析其概率模型估计及更新办法中对基于表格的二进制算术编码（利用查表方式）进行了重点研究,有效的降低算法复杂度。     

基于频域特征的H.264/AVC帧内编码模式快速预测

为降低H．264／AVC帧内预测计算复杂度，提出了基于频域特征的快速帧内编码模式预测算法．首先，对要编码的4×4块进行DCT变换，得到少数的几个DCT系数．然后，通过这几个系数计算块的特征方向和方差．最后，根据特征方向和方差计算最可能的几种预测模式．实验验证了该算法在不牺牲图像质量和压缩效率的基础上将帧内预测的计算复杂度平均降低了67．5％．     

H.264/AVC快速帧间编码算法

基于率失真优化的H.264/AVC帧间宏块编码模式,需要对10种模式进行率失真优化计算才能得到一个宏块的最优编码模式,这种宏块的最优编码模式是以巨大计算复杂度为代价的.为了降低计算复杂度,在实验统计了各种宏块编码模式在不同QCIF视频序列中所占的比例及分析各种编码模式的适用性情况下,提出了一种快速帧间编码算法,它采用优先判断SKIP模式和图像纹理相结合的方法,在基于H.264/AVC测试模型JM7.6上的仿真试验表明,所提出的快速算法,在基本保持图像质量和码率基本不变的情况下,可以有效提高编码速度.     

The Modified Multiple Model Switching Tuning Control Application in AVC

In the complex mechanical vibration environment, the dominant frequency of the system varies remarkably and swiftly under various running conditions, which also characterizes uncertainty and time-variation. It is very impending and important to suppress or isolate the detrimental vibrations related to the above memtoned system with active vibration control (AVC) technology. This paper presented the improved linear quadratic gaussian (LQG) control scheme with a specified filter to realize broadband disturbance/noise attenuation and assure intensive suppression of vibration at the key vibration frequency, then applies and modifies the multiple model switching tuning (MMST) control method by disturbance observation to track the variation of dominant vibration component timely. The effectiveness and superiority of the presented control method were demonstrated by numerical simulation and AVC experiment on a flexible cantilever beam under sweeping excitation.