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编码框架
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  coding framework
    5. Referring to the H. 264 test model long term number9(TML9) and thebasic coding framework of the standard H. 263, we developed the software codec of H. 264 with VC++ .
    263系统编码框架和TML9编码程序设计模型基础上,用Visual C++工具开发完成了H. 264软件编解码系统。
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    An improved binary SPECK coding framework was adopted for these coefficients above threshold Th. The coefficients below Th were quantized by integer powers of two. Finally.
    然后,对大于Th的小波系数采用整数平方阈值进行量化、缩短阈值间的距离,并对阈值平面上的系数采用改进的二进制SPECK编码框架,对小于Th的系数采用2的整数幂作为量化阈值。
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    The algorithm can be easily incorporated into the MPEG-4 object-based coding framework.
    算法可方便地并入到MPEG- 4基于对象的编码框架中.
短句来源
    The lossy and lossless coding framework can not only code multiple, arbitrary shape regions of interest but also preferentially guarantee the reconstructed fidelity of regions of interest with high priorities.
    该编码框架不仅可以进行任意形状感兴趣区域的有损和无损压缩,而且可有效地根据优先级顺序优先保证高优先级任意形状感兴趣区域的目标重建质量。
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    264is a new international video coding standard based on motion estimation,transform,quantization and entropy coding framework.
    264是一个新的基于运动补偿+变换+量化+熵编码框架的视频编码国际标准。
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  “编码框架”译为未确定词的双语例句
    Especially based on IMT for the rational transforming parameter, PSNR of the destructive compression differ 3~6dB from DWT adopting Db9/7 under the SPIHT and SPECK coding frame. There are two reasons. First, that mantissa rounding makes IWT become the nonlinear transform, thus reduce its energy centralization.
    尤其基于有理变换参数(Rational Parameter)的IWT,在SPIHT 或SPECK编码框架下,有损压缩时的峰值信噪比(PSNR)较采用Db9/7的DWT相差3-6dB.其原因之一是: 截断取整(mantissa rounding)操作使IWT成为非线性变换(Nonlinear Transform),降低了IWT的能量集中性。
短句来源
    Secondly, according to the framework offered by VM of MPEG-4 standard and Microsoft, MPEG-4 coder is completed with software and its performance is analyzed.
    其次,根据MPEG-4标准中的参考校验模型(VM)及微软组织提供的MPEG-4视频编码框架(Framework),编制了相应软件,实现了MPEG-4编码器,同时分析了编码器的性能。
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    3. Two extensions to the coded cooperation framework are presented.
    3.提出了两个现存的编码框架
短句来源
    The algorithm estimates the necessary to do the 8x8 block motion estimation by simple computations of 16x16 SAD and motion vectors in MPEG-4 with rate-distortion optimization method, when 16x16 motion vectors are present.
    在使用率失真优化方法的MPEG-4视频编码框架中,当已知16x16运动向量时,通过对16x16运动向量所导致的宏块各部分绝对差之和(SAD)和运动向量做简单的计算,排除相当一部分宏块不需要4次8x8运动估计,而PSNR性能的损失则可以忽略不计。
短句来源
    For the state-of-the-art video coding algorithm using DCT and motion compensation, this thesis aims to enhance its error resilience, while preserves its coding efficiency and computation complexity.
    针对主流的DCT变换结合运动补偿的视频编码框架,论文从提高其容错性能入手,同时兼顾压缩效率和运算复杂度的要求,重点进行了以下几个方面的研究。
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  coding framework
A common coding framework in self-other interaction: evidence from joint action task
      
Here we suggest that the function of the mirror system can be understood within a predictive coding framework that appeals to the statistical approach known as empirical Bayes.
      
Analysis of the transcripts was based on constant comparative method using a coding framework.
      
Our initial coding framework covered 10 categories, of which the most common were: a specific patient encounter (19%); an experience in the community (15%); and a personal health experience (15%).
      
This paper proposes a hybrid video coding framework based on discrete wavelet transform and multiple macroblock mode overlapped block motion compensation (OBMC).
      
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Fine Granularity Scalability (FGS) video coding is a key technique in MPEG 4 streaming video profile. However, since it always uses low quality reconstructed images as reference frames in motion compensation, it has relatively low coding efficiency. This paper first proposes a basic framework, Progressive Fine Granular Scalable (PFGS), which provides a highly efficient scalable video coding. Compared to MPEG 4, the PFGS framework uses multiple references with increasing quality for coding efficiency because...

Fine Granularity Scalability (FGS) video coding is a key technique in MPEG 4 streaming video profile. However, since it always uses low quality reconstructed images as reference frames in motion compensation, it has relatively low coding efficiency. This paper first proposes a basic framework, Progressive Fine Granular Scalable (PFGS), which provides a highly efficient scalable video coding. Compared to MPEG 4, the PFGS framework uses multiple references with increasing quality for coding efficiency because high quality references make the motion prediction more accurate. However, using multiple different quality references also introduces several issues. Firstly, multiple extra frame buffers are needed for saving the reconstructed layers. This increases the memory cost and computational complexity of the PFGS system. Based on the basic framework, a simplified and efficient PFGS framework is further proposed. The simplified PFGS framework needs only one extra frame buffer with almost the same coding efficiency as the original framework. Secondly, there are undesirable increases and fluctuations in the residue coefficients during switching references form a low quality to a high quality, which partly offset the advantage of high quality references. Furthermore, a scheme eliminates the fluctuations among enhancement layers by using the high quality reference for all enhancement layers coding and solving the error drifting problem through reconstruction using low quality references. Experimental results show the PFGS framework can improve coding efficiency up to more than 1dB compared with Fine Granular Scalability (FGS) on the average PSNR, yet still keeps all the original properties, such as fine granularity, bandwidth adaptation and error recovery.

精细的可伸缩性的视频编码 FGS(Fine Granular Scalable)是 MPEG- 4标准的视频流化框架中的关键性编码技术 ,由于在 FGS编码方案中运动补偿是参考一个最低质量的重构层 ,因而编码效率较低 .在这篇文章中 ,我们首先提出了一个渐进的精细可伸缩性的视频编码框架 ,简称为 PFGS(Progressive Fine Granular Scalable) ,与MEPG- 4中的 FGS相比 ,PFGS编码框架试图在增强层的编码过程中采用多个高质量的参考来提高编码效率 ,这是因为高质量的参考可使运动预测更准确 .但是 ,高质量的参考也会带来一些问题 .首先 ,增加多个参考会使得PFGS编码需要更多的内存 ,同时也会增加其计算复杂性 ,因而在这篇文章中 ,首先将 PFGS编码框架简化为只需采用一个额外的缓存来存储参考图像 ,而得到的编码效率几乎和原来多个参考一样 .其次 ,在编码过程中 ,由于转换参考图像会造成增强层间编码系数的振荡 ,从而部分地抵消了采取高质量参考的优势 .文中同时提出了一个有效的消除振荡的方法 ,即采用高质量的参考对所有增强层进行编码而...

精细的可伸缩性的视频编码 FGS(Fine Granular Scalable)是 MPEG- 4标准的视频流化框架中的关键性编码技术 ,由于在 FGS编码方案中运动补偿是参考一个最低质量的重构层 ,因而编码效率较低 .在这篇文章中 ,我们首先提出了一个渐进的精细可伸缩性的视频编码框架 ,简称为 PFGS(Progressive Fine Granular Scalable) ,与MEPG- 4中的 FGS相比 ,PFGS编码框架试图在增强层的编码过程中采用多个高质量的参考来提高编码效率 ,这是因为高质量的参考可使运动预测更准确 .但是 ,高质量的参考也会带来一些问题 .首先 ,增加多个参考会使得PFGS编码需要更多的内存 ,同时也会增加其计算复杂性 ,因而在这篇文章中 ,首先将 PFGS编码框架简化为只需采用一个额外的缓存来存储参考图像 ,而得到的编码效率几乎和原来多个参考一样 .其次 ,在编码过程中 ,由于转换参考图像会造成增强层间编码系数的振荡 ,从而部分地抵消了采取高质量参考的优势 .文中同时提出了一个有效的消除振荡的方法 ,即采用高质量的参考对所有增强层进行编码而用低质量的参考来重构以解决误差传播问题 .实验结果表明 ,我们所提出的 PFGS编码框架的编码效率能比 MPGE- 4中的 FGS提高 1d B以上 ,同时保留了FGS所有的优点 ,比如精细可调性 ,自适应网络带宽变化?

Natural video coding in MPEG 4 is concerned. The syntax structure of MPEG 4 video is illuminated followed by the general description of the video coding model. The key technology involved in the MPEG 4 video coding is analyzed in detail as follows: VOP generation; coding of binary and gray level α plane; motion estimation, motion compensation and motion prediction; texture coding; object based scalability include temporal scalability and spatial scalability; resynchronization, error concealment and error...

Natural video coding in MPEG 4 is concerned. The syntax structure of MPEG 4 video is illuminated followed by the general description of the video coding model. The key technology involved in the MPEG 4 video coding is analyzed in detail as follows: VOP generation; coding of binary and gray level α plane; motion estimation, motion compensation and motion prediction; texture coding; object based scalability include temporal scalability and spatial scalability; resynchronization, error concealment and error refreshment method provided by MPEG 4; sprite coding; zero tree wavelets based coding for still picture. The differences with other video coding standards such as MPEG 1, MPEG 2, H.263 are pointed out, which make the three distinct features of MPEG 4 stand out. The video application over the network based on MPEG 4 is shown, and the test results are given and analyzed.

对MPEG 4自然视频编码的关键技术作了详细的分析和阐述。首先介绍MPEG 4视频语法结构 ,并对视频编码的框架作概要分析。接着分析了自然视频编码中涉及到的关键技术 ,包括 :VOP的产生 ;二值和灰度级α平面的编码技术 ;运动估计和补偿方法 ;纹理编码 ;基于对象的时间分级和空间分级 ;MPEG 4提供的再同步和各种错误掩盖、刷新方法 ;精灵编码技术和零树小波基的静止图像编码技术。指出MPEG 4和MPEG 1、MPEG 2等标准的异同 ,突出MPEG 4的三个主要特点。最后给出MPEG 4技术在网络视频传输中的应用 ,并给出测试和分析。

This paper presents a new quantizor scheme based on the IaCLA model derived from the intra-band masking.lt use a nonlinear transform to exploit the visual masking such as brightness masking and contrast masking, etc. The proposed approach can efficiently protect low amplitude wavelet coefficient and discriminate the simple edge even in the smooth region.

以JPEG 2000作为编码框架,应用基于带内活跃性视觉模型(IaCLA),提出视觉量化编码方法。该方案基于人类视觉系统掩盖效应设计量化器:利用非线性变换,以实现视觉亮度掩盖和对比掩盖,从而自适应调节量化步长和编码块率失真度。

 
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