利用H·264/AVC数据分割实现GOP级视频传输的方法

H.264/AVC中slice的各个数据分割部分和GOP内不同编码类型的帧对视频恢复质量影响不同.根据这一特性,提出一种度量GOP内不同帧中各个数据分割部分重要性的失真推导算法,再利用所得的重要性提出一种与视频内容和信道条件都自适应适配的GOP级视频传输方法.度量重要性所使用的失真推导算法考虑了由误码扩散和误码掩盖引入的失真.实验结果表明,使用推导算法计算所得的失真与仿真所得的失真基本吻合,与基于slice数据分割的视频传输方法相比,所提出的GOP级视频传输方法提高了视频恢复质量,最好可提高2dB以上.     

利用分级正交幅度调制的无线视频传输方法

针对带宽有限的多载波无线视频传输,提出了一种利用分级正交幅度调制(HierarchicalQuadrature Amplitude Modulation,HQAM)为视频码流中重要性不同部分提供不等保护的无线视频传输方法.首先将所有可用子载波根据其信道质量划分成不同的类型;其次推导出HQAM调制参数、QAM符号不同位置比特误码率和平均信噪比之间的关系,并为不同类型的子载波分别确定HQAM调制参数;最后将视频码流中对恢复视频质量重要性不等的部分,采用所确定的HQAM调制参数分别调制到对应的子载波上,实现不等保护传输.仿真结果表明,与现有的方法相比,在相同信道带宽和平均信噪比条件下,本方法有效提高了解码端的恢复视频的质量,最高可达2 dB.     

一种基于H.264视频传输的错误检测方法

在误码发生严重的信道中进行视频通信,要求解码器具有强的错误检测定位和错误隐藏能力.传统的基于语法(Syntax)的检测方法低的检测率和定位率极大地影响了错误隐藏的效果.通过借助数字水印技术,将改进的迫偶标识法(FEW)应用到H.264编解码系统,用来错误检测和定位,并在H.264的JM 86平台上进行了试验.结果表明,在同等应用环境下,与传统的基于语法的检测方法相比,该方案不但切实可行,而且错误检测率和定位率均有较大提高.     

Novel video coding distortion estimation algorithm for H.264/AVC

A novel video coding distortion estimation algorithm is proposed for H.264/AVC. First, a new linear method is used to compute the variance of the direct current (DC) coefficient. Then, with the assumption that the DC coefficient follows a Gaussian distribution, the distortion of the Gaussian source under the quantization of the dead-zone plus-uniform threshold quantization (DZ-UTQ) with the uniform reconstruction quantizer (URQ) is derived, and according to the distortion of the Gaussian source and the variance of the DC coefficient, the coding distortion of the DC coefficient called DC distortion is calculated. Thirdly, a new function is employed to compute the ratio of video coding distortion to DC distortion. Finally, video coding distortion is estimated using the ratio and DC distortion. Compared with the algorithm with the best performance in the existing algorithms, the proposed algorithm decreases the averaged estimation error by up to 36％. Experimental results show that the proposed algorithm can provide the estimation of video coding distortion more accurately than the existing algorithms.     

Network-aware perceptual error concealment method for H.264 video with side information

In order to improve the video quality of transmission with data loss, a spatial and temporal error concealment method was proposed, which considered both the state information of the network and the perceptual weight of the video content. The proposed method dynamically changed the reliability weight of the neighboring macroblock, which was used to conceal the lost macroblocks according to the packet loss rate of the current channel state. The perceptual weight map was utilized as side information to do weighted pixel interpolation and side-match based motion compensation for spatial and temporal error concealment, respectively. And the perceptual weight of the neighboring macroblocks was adaptively modified according to the perceptual weight of the lost macroblocks. Compared with the method used in H.264 joint model, experiment results show that the proposed method performs well both in subjective video quality and objective video quality, and increases the average peak signal-to-noise ratio (PSNR) of the whole frame by about 0.4 dB when the video bitstreams are transmitted with packets loss.     

基于H.264/AVC的自适应快速多参考帧选择算法

在不同尺寸块编码模式下,时域和空域运动相关性对最优参考帧选取的影响是不同的.本文通过分析视频序列的统计特性和视频帧内的空间相关性,提出了一种基于运动相关性的自适应多参考帧快速选择算法.该算法根据视频序列自身特征,自适应地去除不必要的参考帧,降低编码复杂度.实验结果显示,在保证编码质量的前提下,本算法平均可以节省编码时间40%以上.     

Joint resource allocation for MIMO OFDM video transmission systemswith unequal error protection

To improve the performance of MIMO-OFDM video transmission systems on the limitation of wireless bandwidth and transmitting power,we propose an adaptive joint resource allocation algorithm with unequal...     

基于图像能量相关性的H.264/AVC 2阶预测算

针对现有2阶预测算法对残差像素间的相关性考察不够,使得2阶预测不够准确,导致编码效率降低等缺点,提出一种基于图像能量相关性的H.264/AVC 2阶预测算法。该算法基于对帧内、帧间残差像素相关性的详细统计分析,定义了像素能量相关性,通过统计出能量相关性和1阶帧间残差的关系曲线,动态地、较为准确地筛选出2阶帧内预测参考像素,既提高了2阶帧内预测的准确性,在码率降低的同时,提高了编码图像质量。实验结果表明,本文算法在图像质量和码率两方面均优于现有2阶预测算法。尤其对于高分辨率且包含复杂运动的视频,图像质量和码率提升较大,与其它2阶预测算法相比,率失真优化效果明显。     

针对样品视频的H.264/SVC的快速运动估计算法

针对应用于电子显微镜等大型科学仪器样品图像远程实时传输的H.264/SVC,提出了一种基于自适应搜索范围的快速运动估计算法。根据宏块的空间和层间相关性,将基本层及增强层宏块分类,以宏块运动向量残差为基础,针对不同类型宏块,在水平和垂直方向上设计了自适应搜索范围算法。并针对匹配块搜索过程和帧间预测过程分别设计了提前退出算法。对不同仪器样品视频的测试表明,该算法与参考软件JSVM9.17的快速搜索算法相比,在PSNR和比特率保持相近的情况下,编码时间大约可节省52%～68%,搜索点数大约可降低81%～95%。     

基于宏块特征的H.264快速帧内预测算法

为了降低H.264的计算复杂度以满足实时应用, 在对H.264帧内编码模式深入研究的基础上, 提出利用宏块灰度直方图特征在Intra4×4和Intra16×16模式中预判, 针对Intra4×4模式采用基于子块预测方向特征的快速帧内预测算法.综合以上2种优化策略, 该优化算法平均码率增加了3.2%, 峰值信噪比基本不变的情况下, 编码速度平均提高了32.8%.