H．264后处理误码掩盖技术

数字视频通信中往往会由于信道不理想等原因而产生误码,而且误码在空间和时间上的扩散会导致重建图像质量不同程度的下降.而误码掩盖技术就是用来改进重建视频质量的重要方法之一.文章论述了国内外误码掩盖技术的现状及其典型算法,分析了误码掩盖技术的应用范围和性能,最后指出误码掩盖技术的发展前景.     

视频通信中的错误掩盖方法研究

误码几乎是不可避免出现在数字视频通信中，其在空间和时间上的扩散对重建图像质量有着不良影响，错误掩盖技术即是用来解决这个问题的重要途径之一。文章论述了国内外错误掩盖技术的现状及其典型算法，分析了它们的应用范围和性能，并指出了其发展前景。     

基于多方向边界匹配的视频误码掩盖算法

视频压缩码流对于信道误码十分敏感,可能导致重建图像质量严重下降.误码掩盖技术利用图像在时间和空间上的相关性,可以有效地降低误码对视频图像的影响.文中提出了一种基于多方向边界匹配的时域误码掩盖算法.该算法能更精确地恢复错误宏块的运动矢量,从而获得比传统的时域掩盖算法更好的视频质量.     

低速率视频传输的抗误码技术

误码掩盖是在无线信道进行低速率视频传输的一种抗误码技术。本文在比较和分析了现有几种误码掩盖方法优劣势后,提出了一种混合误码掩盖法。该算法在没有过多增加解码端运算复杂度的同时,大大提高了恢复图像的质量。     

基于H.263中PEI域的视频抗误码方法研究

本文提出利用H.263中PEI域自适应改变前向纠错能力,保护重同步信息进行误码掩盖,以及防止误码扩散的一种新颖的抗误码方法.实验结果表明,在信道变化和高误码率环境下,使用本文提出的抗误码方法大大提高了恢复视频的质量.另外,该算法与H.263标准兼容,且没有过多增加信道负担和运算复杂度,具有实用价值.     

高效的H．264误码掩盖方法——数据隐藏

H.264视频流采用熵编码,因此码流中很小的传输错误可能造成接收端码流质量的急剧下降。因此误码掩盖技术是近年来值得研究的课题。本文分析了几种混合的误码掩盖方法,以及基于数据隐藏的误码掩盖方法。数据隐藏方法在编码端提取当前帧的重要数据并嵌入到参考帧;解码端,若有损宏块的重要数据能够被正确的提取,则利用提取到的重要数据来掩盖误码。本文最后提出数据隐藏的发展方向。     

一种新颖实用的交互式视频抗误码方法

本文提出一种新颖的交互式视频抗误码方法.首先,分析了块匹配运动补偿编码方法产生时域误码扩散的机理,然后,相应地提出了一种新颖的误码掩盖和防止误码扩散联合方法.实验结果表明,使用本文提出的交互式视频抗误码方法能够有效地抑制和防止误码的扩散,保证了恢复视频质量.另外,该算法与H.263+标准兼容,具有实用价值.     

基于无线H．264时域误码掩盖算法的改进

为解决传统H.264时域误码掩盖算法中丢失块的相邻运动矢量在无线环境下极易丢失的问题,结合部分误码掩盖算法研究成果,提出了一种利用相邻参考帧和丢失块相邻运动矢量,运用投影加权的方法估计出最优丢失块运动矢量用于误码补偿的改进误码掩盖算法.实验证明,运用改进算法掩盖后的图像质量有所提高,并且抑制了误码的错误积累和扩散,具有一定实际应用意义.     

基于H.264的具有抗分组丢失能力的视频通信系统

针对IP网络环境下实时视频通信的需要，提出了具有抗分组丢失能力的视频通信系统（PRVCS）。系统以H．264编解码算法为核心，在满足实时视频通信要求的同时，将前向分组保护，误码掩盖和交互式防误码扩散三种算法有机结合，在丢包环境下保证恢复视频的主客观质量。其中重点研究了PRVCS所使用的算法、体系结构以及系统的具体实现。     

基于H.263视频解码的误码掩盖技术研究

本文提出了一种基于接收端像素域的误码掩盖算法,包括误码检测、重同步、误码定位和估计误码数据等四个环节。计算机模拟结果显示,经误码掩盖之后的图像质量有显著的改善     

整帧丢失时基于多帧参考的差错掩盖算法

压缩视频对于信道误码十分敏感,可导致重组视频的质量严重下降。在低码率的情况下,当网络传输中出现数据包丢失的情况时,通常对应于一整帧图像内容的丢失。为此本文提出了两种针对整帧图像丢失的差错掩盖算法一基于多帧参考的差错掩盖算法。研究结果表明,该算法不仅能够恢复整个丢失帧,而且其掩盖效果比传统的掩盖算法更好。     

An Error Concealment Approach Based on H.263 Video Decoding in Pixel Domain

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IP视频通信中的错误掩盖技术

当视频压缩数据在QoS(Quality of Service)不能保障的IP网络(如INTERNET)上传输时,必须考虑信道所引入错误的影响,错误掩盖是消除错误的重要方法.本文建议了一种能够保持图像边缘的空域错误掩盖算法,该算法适用于基于块的视频压缩编码标准,如MPEG 2、H.263等.该算法根据受损宏块邻近区域的边缘信息自适应地确定用于内插的像素的权值,实验证明该算法能够很好地保持边缘的连续性,达到了较好的图像掩盖效果.     

Training sequence optimization in MIMO systems with colored interference

We address the problems of channel estimation and optimal training sequence design for multiple-input multiple-output systems over flat fading channels in the presence of colored interference. In practice, knowledge of the unknown channel is often obtained by sending known training symbols to the receiver. During the training period, we obtain the best linear unbiased estimates of the channel parameters based on the received training block. We determine the optimal training sequence set that minimizes the mean square error of the channel estimator under a total transmit power constraint. In order to obtain the advantage of the optimal training sequence design, long-term statistics of the interference correlation are needed at the transmitter. Hence, this information needs to be estimated at the receiver and fed back to the transmitter. Obviously it is desirable that only a minimal amount of information needs to be fed back from the receiver to gain the advantage in reducing the estimation error of the short-term channel fading parameters. We develop such a feedback strategy in this paper.     

Motion field interpolation for temporal error concealment

When transmitted over practical communication channels, compressed video can suffer severe degradation. One approach to combat the effect of channel errors is error concealment. It is an attractive choice because it does not increase the bit rate, it does not require any modifications to the encoder, it does not introduce any delays and it can be applied in almost any application. Conventional temporal concealment techniques estimate one concealment displacement for the whole damaged block and then use translational displacement compensation to conceal the block from a reference frame. The main problem with such techniques is that incorrect estimation of the concealment displacement can lead to poor concealment of the whole or most of the block. Two novel temporal concealment techniques are presented. In the first technique, motion field interpolation is used to estimate one concealment displacement per pel of the damaged block and then each pel is concealed individually. In this case, incorrect estimation of a concealment displacement will only affect the corresponding pel. On a block level this may affect few pels rather than the entire block. In the second technique, multi-hypothesis motion compensation is used to combine the first technique with a boundary matching temporal concealment technique to obtain a more robust performance. Simulation results, within both an isolated error propagation environment and an H.263 codec, show the superior subjective and objective performance of the proposed techniques when compared with conventional temporal concealment techniques     

An error-protected speech recognition system for wirelesscommunications

Future wireless multimedia terminals will have a variety of applications that require speech recognition capabilities. We consider a robust distributed speech recognition system where representative parameters of the speech signal are extracted at the wireless terminal and transmitted to a centralized automatic speech recognition (ASR) server. We propose two unequal error protection schemes for the ASR bit stream and demonstrate the satisfactory performance of these schemes for typical wireless cellular channels. In addition, a "soft-feature" error concealment strategy is introduced at the ASR server that uses "soft-outputs" from the channel decoder to compute the marginal distribution of only the reliable features during likelihood computation at the speech recognizer. This soft-feature error concealment technique reduces the ASR error rate by more than a factor of 2.5 for certain channels. Also considered is a channel decoding technique with source information that improves ASR performance     

Error concealment techniques for digital TV

Compressed video bitstreams are intended for real-time transmission over communication networks. Most of the video coding standards employ the temporal and spatial prediction structure to reduce the transmitted video data. Therefore, the coded video bitstreams are highly sensitive to information loss and channel errors. Even a single bit error can lead to disastrous quality degradation in both time and space. This quality deterioration is exacerbated when no error resilient coding mechanism is employed to protect coded video data against the error prone environments. Error concealment is a data recovery technique that enables the decoder to conceal effects of transmission errors by predicting the lost or corrupted video data from the previously reconstructed error-free information. Motion vector recovery and motion compensation with the estimated motion vector is a good approach to conceal the corrupted macroblock data. In this paper, we develop various error concealment algorithms based on motion vector recovery, and compare their performances to those of conventional error concealment methods.     

3D视频的错误隐藏快速算法

具有独特编码结构的3D视频在不可靠信道上传输时遭遇丢包后极易造成错误传播,因此研究基于3D视频的错误隐藏技术十分必要。而且,压缩后传输的3D视频数据量仍然较大,这对解码器的解码速度提出了很高的要求。如何在解码端加速进行错误隐藏是研究重点,通过快速定位静止宏块的方法加速错误隐藏速度。实验结果表明该算法在保证不降低视频的主、客观质量的同时,能有效地降低错误隐藏算法的复杂度。