Motion Compensated Scalable Video Coding for Heterogeneous Networks

异构网络的运动补偿可扩展视频编码

• 批准号: 0430837
• 负责人: John Woods
• 金额: $ 9万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0430837&HistoricalAwards=false
• 关键词: Motion; Compensated; Scalable; Video; Coding

This project has the goal of developing a new family of more powerful and fully scalable video compression algorithms. It uses the interframe subband/wavelet approach that is accomplished through the use of a motion compensated temporal filter (MCTF). This method has emerged over the recent years as having great potential for video compression closely matched with universal multimedia access and the efficient transmission of video over heterogeneous and lossy networks. There is an on-going standards investigation in this area. Our previous video coder MC-EZBC used 2-tap Haar filters and hierarchical variable-size block matching (HVSBM). The new improved coder uses longer temporal filters and a hierarchical variable size mesh-based motion field. Improvements are anticipated based on various experimental and theoretical findings in the literature, and described more fully in the project description. In performing the MCTF, a key problem is to avoid creating artifacts in the lower frame-rate data by inadvertently filtering along poorly matched paths. A variable size block match field has been used in the past because it is easy to classify the blocks as to whether they should be filtered, predicted, or regarded as I-blocks, and just spatially interpolated. The challenge then is to do the same with the more accurate mesh-based motion models and on a variable size mesh grid. As we find the .true. motion paths, we can then make better use of longer filters, to reduce redundancy and to improve the quality of the video itself. Additionally such a high quality motion field, when made available at the receiver, can enable sophisticated post-processing to be done for adaptation to display characteristics. Level of Effort Statement: During this one-year effort, we will concentrate on scalable motion vector coding and hierarchical variable size mesh model for MCTF with longer filters. We will not get to the investigation of alias problems or the new paradigm . combined video restoration and coding.

这个项目的目标是开发一个新的家庭更强大和完全可扩展的视频压缩算法。 它使用帧间子带/小波方法，通过使用运动补偿时间滤波器（MCTF）来完成。 这种方法已经出现在最近几年的视频压缩密切匹配的通用多媒体接入和高效传输的视频异构和有损网络的巨大潜力。 目前正在对这一领域的标准进行调查。 我们以前的视频编码器MC-EZBC使用2抽头Haar滤波器和分层可变大小块匹配（HVSBM）。 新的改进的编码器使用更长的时间过滤器和分层可变大小的网格为基础的运动场。 根据文献中的各种实验和理论发现，预计会有所改进，并在项目说明中进行了更充分的描述。 在执行MCTF时，一个关键问题是避免由于不经意地沿沿着匹配不良的路径滤波而在较低帧速率数据中产生伪影。 在过去已经使用了可变大小的块匹配字段，因为很容易将块分类为它们是否应该被滤波、预测或被视为I块，并且只是空间内插。 接下来的挑战是在更精确的基于网格的运动模型和可变大小的网格网格上做同样的事情。 当我们发现. true。运动路径，然后我们可以更好地利用较长的滤波器，以减少冗余并提高视频本身的质量。 另外，当在接收器处可用时，这样的高质量运动场可以使得能够进行复杂的后处理以适应显示特性。 努力程度声明：在这一年的努力，我们将集中在可伸缩的运动矢量编码和分层可变大小的网格模型MCTF与较长的过滤器。 我们将不涉及别名问题或新范式的调查。组合的视频恢复和编码。