H.264帧内预测算法的优化及应用

现存的视频压缩方法, 大多为提高视频的压缩效果和减少压缩时间, 而采用电路复杂并且造价高昂硬件电路. 针对该情况, 文章根据帧内预测算法的准确性与高效性, 采用H.264帧内预测算法并对其进行优化, 在此基础上设计硬件电路, 后结合JPEG图像压缩算法对视频进一步压缩,从而达到简化硬件电路、缩短编码时间、提高数据的传输速率与可靠性的目的. 测试表明, 研究能够达到上述目的且具有相对成本低廉的市场优势, 在无线视频监控领域上具有较好的发展前景.     

基于H.264的视频编码标准的关键技术分析

H.261是ITU-T于1990年制定的一个视频编码标准,设计目的是能够在带宽为64kbps的倍数的综合业务数字网上传输质量可接受的视频信号,是最早的运动图像压缩标准,本文对H.261的视频编码标准关键技术研究。     

H.264 video transmissions over wireless networks: Challenges and solutions

Multimedia video streaming is becoming increasingly popular. Using multimedia services, there are more and more users in end-system over wireless networking environment. H.264/AVC is now the standard for video streaming because of its high compression efficiency, robustness against errors and network-friendly features. However, providing the desired quality of service or improving the transmission efficiency for H.264 video transmissions over wireless networks present numbers of challenges. In this paper, we consider those challenges and survey existing mechanisms based on the protocol layers they work on. Finally, we address some open research issues concerning for H.264 video transmission in wireless networks.     

A study of 3D Network-on-Chip design for data parallel H.264 coding

In this paper, we implement, analyze and compare different Network-on-Chip (NoC) architectures aiming at higher efficiencies for MPEG-4/H.264 coding. Two-dimensional (2D) and three-dimensional (3D) NoCs based on Non-Uniform Cache Access (NUCA) are analyzed. We present results using a full system simulator with realistic workloads. Experiments show the average network latencies in two 3D NoCs are reduced by 28% and 34% respectively, comparing with 2D design. It is also shown that heat dissipation is a trade-off in improving performance of 3D chips. Our analysis and experiment results provide a guideline to design efficient 3D NoCs for data parallel H.264 coding applications.     

H.264中快速运动估计UMHexagonS算法的改进

在对H.264中非对称十字型多层次六边形格点搜索算法(UMHexagonS)研究的基础上,针对其存在运算量大、耗时等问题提出两方面的改进.首先,利用对称十字模板替换原来的5x5螺旋搜索,减少了64%的搜索点数;其次,利用对象内部代价的相关性提出自适应搜索长度方法,以减少运算量.在JM10.1测试模型上进行了验证.实验结...     

H.264/AVC快速帧内预测模式选择新算法

为了得到最优模式,H.264采用了率失真优化(RDO)技术计算宏块的每种模式的代价,但是这样增加了计算复杂度。结合PAN算法提出了一种快速帧内预测模式选择算法,首先根据宏块是否平坦决定帧内预测的类型——帧内4×4和帧内16×16。其次,改进了PAN算法,提出了一种快速帧内预测模式选择的新算法。实验结果表明,新算法与全搜索算法和PAN算法相比,减少了编码时间,峰值信噪比(PSNR)基本保持不变,输出码率略有增加。     

视频编码标准中帧内预测技术研究

文章研究和比较了视频编码标准H.263 和H.264中所采用的帧内预测技术,阐明了H.264中的空域帧内预测技术具有比H.263 中的频域帧内预测技术更佳的预测效果,能够更有效地提高压缩性能。     

Motion mapping and mode decision for MPEG-2 to H.264/AVC transcoding

This paper describes novel transcoding techniques aimed for low-complexity MPEG-2 to H.264/AVC transcoding. An important application for this type of conversion is efficient storage of broadcast video in consumer devices. The architecture for such a system is presented, which includes novel motion mapping and mode decision algorithms. For the motion mapping, two algorithms are presented. Both efficiently map incoming MPEG-2 motion vectors to outgoing H.264/AVC motion vectors regardless of the block sizes that the motion vectors correspond to. In addition, the algorithm maps motion vectors to different reference pictures, which is useful for picture type conversion and prediction from multiple reference pictures. We also propose an efficient rate-distortion optimised macroblock coding mode decision algorithm, which first evaluates candidate modes based on a simple cost function so that a reduced set of candidate modes is formed, then based on this reduced set, we evaluate the more complex Lagrangian cost calculation to determine the coding mode. Extensive simulation results show that our proposed transcoder incorporating the proposed algorithms achieves very good rate-distortion performance with low complexity. Compared with the cascaded decoder-encoder solution, the coding efficiency is maintained while the complexity is significantly reduced.

H.264宏块选择的自适应算法研究

在视频编码的过程中,运动估计占据了举足轻重的地位.其性能优劣会在一定程度上决定了码流质量.采用16×16宏块能够提高压缩比,但容易产生方块效应,使用4×4宏块可以提高图像质量,但降低了压缩比。H.264视频压缩标准采用多模式运动估计,可以有效减少块匹配预测误差,但随着模式的增多,算法计算量成倍增加.为了克服这个困难,本文提出一种新的自适应的宏块划分和运动估计算法。这种分块算法在综合考虑图像本身特性在编码过程中,根据图像的各个部分运动程度不同而采用不同的分快策略,兼顾图像质量和处理开销。     

基于H.264/AVC的帧内4×4预测模式快速选择算法

在H.264/AVC视频编解码标准中,帧内预测利用周围像素预测当前块来降低空间冗余,能极大地提高H.264/AVC的编码效率。然而,帧内预测的4×4预测有9种模式,为选出最佳模式,全搜索算法需要花费极大的计算量。为了降低帧内预测的复杂度,文章结合9种预测模式的各自特点和整数变换的线性性质,提出一种适用于H.264/AVC帧内4×4模式选择的快速变换和量化算法来减少对应模式变换和量化操作步骤的计算量。实验结果表明,优化算法可以有效地减少整数变换和量化操作的计算量。