面向头肩序列图像的质量可精细扩展视频编码方法

FGS编码方法具有细粒度的可扩展能力,能很好地适应网络带宽的动态变化,被认为是一种适合于网络视频传输的编码方案.但现有的MPEG-4 FGS编码标准效率低,限制了其进一步的推广应用.因此,本文面向视频应用中常见的头肩序列图像,实现了一种质量可精细扩展的视频编码方法.该方法采用H.26L对基本层进行编码,采用基于DCT变换的SPIHT方法对原始图像与基本层重建图像之间的残差进行编码得到增强层的码流.然后将复杂背景下的人脸检测与跟踪技术与选择性增强技术结合起来,对人脸区域优先编码.实验结果表明,该方法不仅编码效率高于现有的MPEG-4 FGS标准,码流具有可精细扩展的特性,还可以选择性地提高人脸区域重建图像的主观感受水平.     

一种改进的MPEG-4精细可伸缩编码方法

提出了一种改进的MPEG-4精细可伸缩编码方法(巧GS)。在增强层编码中，IFGS增加一个高质量的参考来作为预测补偿，然后利用DCT残差系数的相关性来消除数据冗余。试验结果表明本文提出的改进方法比原来的FGS编码方法有更高的效率。     

基于H.264的FGS视频编码及其在视频会议系统中的应用

主要介绍视频会议系统的基本概念及其对视频编解码技术提出的要求，在MPEG-4精细可伸缩性编码（FGS）的基础上，提出了一种基于H．264的精细可伸缩性视频编码方案，仿真和实验结果表明，基于H．264的FGS具有更高的信噪比和视觉质量，能较好地满足基于IP的H．323视频会议系统不同终端的视频质量要求。     

精细可伸缩性视频编码的研究

针对MPEG-4可伸缩编解码方案FGS存在编码效率低的缺陷,出现了不少改进方案,如渐进的精细可伸缩视频编码方案和运动补偿精细可伸缩视频编码方案.对各种编码方案进行了研究和比较.     

基于帧内区域的细粒度可扩展视频编码最优码率分配算法

MPEG-4 FGS是MPEG-4中精细可扩展性编码方法,由于采用帧8*8交织的位平面编码结构,无法支持帧内区域级的动态码率分配,不适合基于内容的增强和流化传输,针对MPEG-4 FGS这编码限制,本文根据MPEG-7的内容描述标准,提出了一种基于帧内区域的细粒度可扩展A-FGS编码,实现了实时的帧内区域流化编码,并就该编码提出了一种最优码率分配算法.利用帧内区域8*8宏块高位平面非零系数很少的特点,提出了动态码率分配算法,使在中等码率范围内编码效率提高了0.5dB左右.     

基于H.264的精细可伸缩性视频编码及实现

在MPEG-4精细可伸缩性编码的基础上，提出了一种基于H．264的精细可伸缩性视频编码方案。仿真和实验结果表明，在相同码率下，基于H.264的精细可伸缩性视频编码比基于MPEG-4的精细可伸缩性视频编码具有更高的信噪比和视觉质量。同时提出了基于H．264精细可伸缩性视频编码的视频点播系统的实现方案。     

基于H.264的FGS视频编码及其在视频会议系统中的应用

主要介绍视频会议系统的基本概念及其对视频编解码技术提出的要求,在MPEG-4精细可伸缩性编码(FGS)的基础上,提出了一种基于H.264的精细可伸缩性视频编码方案,仿真和实验结果表明,基于H.264的FGS具有更高的信噪比和视觉质量,能较好地满足基于IP的H.323视频会议系统不同终端的视频质量要求。     

MPEG-4 SLS无损增强层的编码

介绍了MPEG-4音频可分级无损压缩编码方案中无损增强层的编码。对无损增强层中的残差映射、比特平面编码、基于上下文的算术编码、低能量编码等技术细节进行了深入讨论和分析。最后将MPEG-4SLS与Monkey’s Audio编码方案进行了比较，以此来说明MPEG-4SLS优异的压缩性能。     

基于H.264的FGS视频编码及其在视频会议系统中的应用

主要介绍视频会议系统的基本概念及其对视频编解码技术提出的要求,在MPEG-4精细可伸缩性编码(FGS)的基础上,提出了一种基于H.264的精细可伸缩性视频编码方案,仿真和实验结果表明,基于H.264的FGS具有更高的信噪比和视觉质量,能较好地满足基于IP的H.323视频会议系统不同终端的视频质量要求.     

适用于3G无线网络的精细可分级编码技术

本文介绍了MPEG-4的一种可分级视频编码方案——精细可分级性(FGS)。FGS把视频流编码成两个比特流：一个基本层(BL)和一个增强层(EL)。根据可获的信道带宽或解码器的容量。一部分的EL作为BL的补充被传输，从而使无线信道上传输的视频质量得到优化。同时还介绍了FGS的两种先进机制：频率权重和选择增强。     

WAVELET－BASED FINE GRANULARITY SCALABLE VIDEO CODING

This letter proposes an efficient wavelet-based fine Granularity Scalable(FGS)coding scheme,where the base layer is encoded with a newly designed wavelet-based coder,and the entancement layer is encoded with Progressive Fins Granularity Scalable(PFGS)coding.This algorithm involves multi-frame motion compensationk,rate-distortion optimizing strategy with Lagrangian cost function and context-based adaptive arithmetic coding.In order to improve efficiency of the enhancenent layer coding,an improved motion estimation scheme that uses both information from the base layer and the enhancement layer is also proposed in this letter.The wavelet-based coder significantly improves the coding efficiency of the base layer compared with MPEG-4 ASP(Advanced Simple Profile)and H.26L TML9.The PFGS coding is a significant improvement over MPEG-4 FGS coding at the enhancement layer.Experiments show that single layer coding efficiency gain of the proposed scheme is about 2.0-3.0dB and 0.3-1.0dB higher than that of MPEG-4 ASP and H.26L TML9,respectively.The overall coding efficiency gain of the proposed scheme is about 4.0-5.0dB higher than that of MPEG04 FGS.     

Layered Wyner-Ziv video coding.

Following recent theoretical works on successive Wyner-Ziv coding (WZC), we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantization, and irregular LDPC code based Slepian-Wolf coding (or lossless source coding with side information at the decoder). Our main novelty is to use the base layer of a standard scalable video coder (e.g., MPEG-4/H.26L FGS or H.263+) as the decoder side information and perform layered WZC for quality enhancement. Similar to FGS coding, there is no performance difference between layered and monolithic WZC when the enhancement bitstream is generated in our proposed coder. Using an H.26L coded version as the base layer, experiments indicate that WZC gives slightly worse performance than FGS coding when the channel (for both the base and enhancement layers) is noiseless. However, when the channel is noisy, extensive simulations of video transmission over wireless networks conforming to the CDMA2000 1X standard show that H.26L base layer coding plus Wyner-Ziv enhancement layer coding are more robust against channel errors than H.26L FGS coding. These results demonstrate that layered Wyner-Ziv video coding is a promising new technique for video streaming over wireless networks.     

Layered Wyner–Ziv Video Coding

Following recent theoretical works on successive Wyner-Ziv coding (WZC), we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantization, and irregular LDPC code based Slepian-Wolf coding (or lossless source coding with side information at the decoder). Our main novelty is to use the base layer of a standard scalable video coder (e.g., MPEG-4/H.26L FGS or H.263+) as the decoder side information and perform layered WZC for quality enhancement. Similar to FGS coding, there is no performance difference between layered and monolithic WZC when the enhancement bitstream is generated in our proposed coder. Using an H.26L coded version as the base layer, experiments indicate that WZC gives slightly worse performance than FGS coding when the channel (for both the base and enhancement layers) is noiseless. However, when the channel is noisy, extensive simulations of video transmission over wireless networks conforming to the CDMA2000 1X standard show that H.26L base layer coding plus Wyner-Ziv enhancement layer coding are more robust against channel errors than H.26L FGS coding. These results demonstrate that layered Wyner-Ziv video coding is a promising new technique for video streaming over wireless networks     

Efficient fine granularity scalability using adaptive leaky factor

Fine Granularity Scalability (FGS) video coding has been adopted by the MPEG-4 standard for video streaming applications. In this paper, we propose a novel FGS coding scheme, which applied adaptive leaky factors for the enhancement layer prediction to further improve the coding efficiency of FGS. A flexible method that can dynamically determine the leaky factors according to the network conditions is also presented. With the proposed method, a better trade-off between the coding efficiency and drifting reduction can be achieved, and the coding performance is further improved compared with using a fixed leaky factor. Experimental results show that the proposed method can further improve the coding efficiency over a wide range of bitrate and packet loss ratio, and still keep the original characteristics, such as fine granularity, and bandwidth adaptation.     

一种改进的可分级视频编码方法及其网络传输研究

该文提出了一种改进的可分级视频编码方法。为了适应流媒体的分层传输要求,该方法通过对DCT系数量化残差的位平面编码产生视频流的增强层部分,其基本层码流由更多的子基本层组成,各子基本层通过宏块级DCT系数重排及VLC重组生成。同时,该文设计了一种针对该分层视频流数据的网络传输自适应不等重丢包保护(AUPLP)策略,在估计当前可利用带宽资源的基础上,实时调整不同层数据的保护力度,并控制传输截断的层数。仿真结果表明,与传统方法相比该文方案在低带宽时可获得平均1.2dB的编码增益,AUPLP的应用也大大改善了视频流媒体的传输质量。     

精细分级编码在H.264视频编码中的一种实现

介绍了分级编码方法的基本原理,对几种典型实用的精细分级编码算法作了总结分析,并在此基础上实现了一个支持精细分级编码(FGS)的H.264编解码器,对FGS码流在基于IP的Intemet网络上的传输性能进行了研究.实验结果表明,该方案具有良好效果.