Very low bit-rate video coding using matching pursuits
Very low bit-rate video coding using matching pursuits
复制标题
使用匹配追踪的极低比特率视频编码
DOI：
10.1117/12.185994
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
M. Vetterli
中科院分区：
文献类型：
--
作者：
Ralph Neff;A. Zakhor;M. Vetterli
术语匹配追求指的是一种贪婪的算法，该算法将信号结构与大型、多样化的功能词典进行匹配。这项技术是由Mallat和Zhang提出的，并将其应用于信号分析。在本文中，我们展示了如何在低于20kbit/S的比特率下，在混合视频编码系统中使用匹配跟踪来有效地编码运动残差。这种技术在低比特率下的一个优点是，比特被渐进地分配到运动残差中的高能量区域。正确选择词典集还可以带来其他好处。例如，具有多种结构的大字典可以使用比DCT基更少的系数来表示残差信号。此外，不是基于块的字典可以减少低比特率DCT系统常见的块失真。给出了用匹配追踪编码器代替标准编码系统中的DCT残差编码器的实验结果。这些结果表明，峰值信噪比和视觉质量都有很大的改善。当匹配追踪编码器与使用重叠运动块的平滑运动模型配对时，会产生进一步的改进。
The term matching pursuits refers to a greedy algorithm which matches signal structures to a large, diverse dictionary of functions. The technique was proposed by Mallat and Zhang with an application to signal analysis. In this paper, we show how matching pursuits can be used to effectively code the motion residual in a hybrid video coding system at bit rates below 20 kbit/s. One advantage of this technique at low bit rates is that bits are assigned progressively to high energy areas in the motion residual. The proper choice of a dictionary set can lead to other advantages. For instance, a large dictionary with a wide variety of structures can represent a residual signal using fewer coefficients than the DCT basis. Also, a dictionary which is not block-based can reduce block distortions common to low bit rate DCT systems. Experimental results are presented in which the DCT residual coder from a standard coding system is replaced by a matching pursuit coder. These results show a substantial improvement in both PSNR and perceived visual quality. Further improvements result when the matching pursuit coder is paired with a smooth motion model using overlapping motion blocks.