H.263视频编码算法原理及DSP实现

介绍ITU-T H.263视频编码器在德州仪器（Texas Instruments)公司新一代数字信号处理芯片IMS320C6000上的实时实现技术。编程实现了H.263标准的主要内容及H.263 中提出的新的编码技术，重点讨论了H.263编码在TMS320C6711 DSP上的优化和实现。     

实时H.263+视频编码器的DSP实现

在多媒体处理芯片TM-1300的开发平台上,快速实现了H.263 视频编码器。首先,根据H.263 编码算法要求,介绍TM-1300适合视频通信开发的特点及其开发环境;然后,将编码算法移植到TM-1300平台并进行大量的优化,其中,重点讨论了位移估值的优化算法。由实验结果可知,使用本文给出的优化算法,可以在TM-1300上快速实现H.263 编码器,满足视频实时编解码的要求,且已应用于实际视频通信产品中。     

H．263＋视频编码器在TM1300上的实现与优化

文章介绍了H.263+编码算法原理和TM1300多媒体处理芯片,针对该芯片的硬件结构和特点,将H.263+编码算法移植到TM1300平台并进行大量的优化。实验结果表明,使用文中给出的优化算法,可以在TM300上快速实现H.263+编码器,对于CIF图像,编码速度达到每秒25帧,满足了视频实时编解码的要求。     

H.263++编码器在PNX1500平台上的优化

文章针对H.263 编码器算法原理和Philips公司多媒体处理芯片PNX1500的结构特点,设计了适应实时信号处理的高性能H.263 编码器。实验结果表明,该编码器能实现对各种运动幅度视频数据的快速编码,可满足对不同运动级别视频信号的实时处理。     

基于H．263编码标准的H．264实时编码器的优化设计

从实时应用角度出发,参考H.263编码标准,对H.264视频编码器进行精简,并对耗时较大的算法进行改进.仿真结果表明,简化后的H.264编码器编码速度达到20f/s(帧/秒),达到实时编码要求,且编码性能优于H.263编码标准的编码器.     

MMX技术在视频压缩中的应用

在视频压缩中,实时性与高压缩率对编码运算的速度提出了严格要求;以ITU-T的H.263编码器为例,详细讨论了采用MMXTM汇编技术;取得了通过指令级的优化提高视频编码器的执行速度所取得的显著效果.     

基于DSP的视频编码的优化和实现

介绍了低码率视频编码国际标准H.263建议的主要内容及H.263 中提出的新的编码技术，重点讨论了H.263编码在TMS320C6711 DSP上的优化和实现。     

Intel IPP库在视频编码中的应用

对IPP库的结构和特点进行了介绍，以H．263编码器为例提出了合理使用IPP库优化视频编码的方法，并对优化的结果进行了比较和分析。     

基于DSP平台的H.264编码器的优化与实现

针对H.264编码器的复杂度很高和基于DSP平台的H.264编码器的实时处理实现难度很大的问题,该文首先介绍了H.264标准基本档次的编码结构,对影响编码速度的原因进行了深入的分析。然后针对TMS320DM642芯片的特点,提出一些优化实现方案,最终在DSP平台上实时实现了H.264基本档次编码器。测试结果表明,经过优化,H.264编码器的处理速度有了很大的提高,对于CIF格式的视频序列能够满足视频编码的实时处理要求。     

基于H．264的视频编码器中打分过程的硬件实现

H．264／AVC与以往的视频标准（H．261、H．263、MPEG-1、MPEG-2等）相比。在算法上有着许多改进,能够在提供更高压缩率的同时提供更好的图像质量。打分过程是一种提高压缩率、保证编码质量的优化算法。本文主要介绍基于H．264标准的编码器中打分过程的算法原理及其硬件实现。     

H.263编译码系统的DSP实现

本文主要介绍了用TMS320C6201实现低比特率视频压缩编码标准H.263的编译码系统。本文对H.263实现算法进行了研究,并针对DSP的结构特点,提出了多种改进措施以适应实时图像编译码与误码信道传输的要求,本文还给出硬件设计与软件的优化处理方法。     

用TMS320C6201实现H.263编译码系统

介绍了用TMS320C6201实现视频压缩编码标准H.263的编译码系统,并以编码系统为例,给出其硬件设计及软件的优化处理方法.     

H.263甚低速率图像编码的全局判决实现方法

本文对Ｈ．２６３编码算法的现有实现方法作了深入的分析,首先发现变换部分存在大量无效运算,提出了在变换前加判决的前变换判决的编码方案,以压缩无效的变换运算;其次发现运动估计部分由于忽略了图像场景的分级运动而存在一定的无效搜索运算,提出了基于分级运动的可变搜索域法来压缩无效的搜索运算;最后将前变换判决方案与运动估计的可变搜索域法有机地结合在一起,提出了全局判决编码方案,从而比较全面地改进了现有实现方法,因而能大幅度地提高编码器的编码速度．     

实现运动估计算法的优化技术

针对H.263编码器,通过研究软件实现提高运动估计算法效率的优化技术,提出一种基于位标识的重复搜索点的识别方法,其思想是根据运动矢量各向非均匀分布特性设置模板内各搜索点顺序,并通过实验验证了该优化方案的有效性。其恢复图像的整像素和半像素搜索点数均有较大的减少,平均每帧的压缩时间大大缩短,而且平均每帧的编码码长也有不同程度的缩短。     

Multiframe video coding for improved performance over wirelesschannels

We propose and evaluate a multi-frame extension to block motion compensation (BMC) coding of videoconferencing-type video signals for wireless channels. The multi-frame BMC (MF-BMC) coder makes use of the redundancy that exists across multiple frames in typical videoconferencing sequences to achieve additional compression over that obtained by using the single frame BMC (SF-BMC) approach, such as in the base-level H.263 codec. The MF-BMC approach also has an inherent ability of overcoming some transmission errors and is thus more robust when compared to the SF-BMC approach. We model the error propagation process in MF-BMC coding as a multiple Markov chain and use Markov chain analysis to infer that the use of multiple frames in motion compensation increases robustness. The Markov chain analysis is also used to devise a simple scheme which randomizes the selection of the frame (amongst the multiple previous frames) used in BMC to achieve additional robustness. The MF-BMC coders proposed are a multi-frame extension of the base level H.263 coder and are found to be more robust than the base level H.263 coder when subjected to simulated errors commonly encountered on wireless channels.     

Rate control feedback mechanism for packet video networks

The authors incorporate a newly proposed rate control feedback mechanism (RCFM) in an H.263 video coder. RCFM adapts to network conditions to locally drop video packets and then discard corresponding macroblocks (MBs) from any further prediction process. The proposed RCFM regulates the output bitrate of an H.263 codec while keeping all encoder parameters fixed and maintaining a good QoS     

Predictive RD optimized motion estimation for very low bit-ratevideo coding

Predictive rate-distortion (RD) optimized motion estimation techniques are studied and developed for very low bit-rate video coding. Four types of predictors are studied: mean, weighted mean, median, and statistical mean. The weighted mean is obtained using conventional linear prediction techniques. The statistical mean is obtained using a finite-state machine modeling method based on dynamic vector quantization. By employing prediction, the motion vector search can then be constrained to a small area. The effective search area is reduced further by varying its size based on the local statistics of the motion field, through using a Lagrangian as the search matching measure and imposing probabilistic models during the search process. The proposed motion estimation techniques are analyzed within a simple DCT-based video coding framework, where an RD criterion is used for alternating among three coding modes for each 8×8 block: motion only, motion-compensated prediction and DCT, and intra-DCT. Experimental results indicate that our techniques yield very good computation-performance tradeoffs. When such techniques are applied to an RD optimized H.263 framework at very low bit rates, the resulting H.263 compliant video coder is shown to outperform the H.263 TMN5 coder in terms of compression performance and computations simultaneously     

基于局域网的H.263视频数据流的实时传输

介绍了一种在局域网上利用RTP技术实时传输H.263图像数据的方法，并对其性能进行了测试，给出了C语言编程实例。通过RTP及RTCP提供的信息对编码端进行码率调整等方法，成功地实现了基于局域网的图像监控系统中的H.263图像数据的实时传送。     

An error detection and recovery algorithm for compressed videosignal using source level redundancy

The motion compensation-discrete cosine transform (MC-DCT) coding is an efficient compression technique for a digital video sequence. However, the compressed video signal is vulnerable to transmission errors over noisy channels. In this paper, we propose a robust video transmission algorithm, which protects the compressed video signal by inserting redundant information at the source level. The proposed algorithm encodes every lth frame in the semi-intra frame (S-frame) mode, in which the redundant parity-check DC coefficients (PDCs) are systematically inserted into the compressed bitstream. Then, the decoder is capable of recovering very severe transmission errors, such as loss of an entire frame, in addition to detecting the errors effectively without requesting any information from external devices. The proposed algorithm is implemented based on the H.263 coder, and tested intensively in realistic error prone environment. It is shown that the proposed algorithm provides much better objective and subjective performances than the conventional H.263 coder in the error prone environment.