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Overcomplete basis transform-based motion residual frame coding method and apparatus for video compression

机译:基于超完备基变换的运动残留帧视频压缩编码方法及装置

摘要

The present invention provides a method to compress digital moving pictures or video signals based on an overcomplete basis transform using a modified Matching Pursuit algorithm. More particularly, this invention focuses on the efficient coding of the motion residual image, which is generated by the process of motion estimation and compensation. A residual energy segmentation algorithm (RESA) can be used to obtain an initial estimate of the shape and position of high-energy regions in the residual image. A progressive elimination algorithm (PEA) can be used to reduce the number of matching evaluations in the matching pursuits process. RESA and PEA can speed up the encoder by many times for finding the matched basis from the pre-specified overcomplete basis dictionary. Three parameters of the matched pattern form an atom, which defines the index into the dictionary and the position of the selected basis, as well as the inner product between the chosen basis pattern and the residual signal. The present invention provides a new atom position coding method using quad tree like techniques and a new atom modulus quantization scheme. A simple and efficient adaptive mechanism is provided for the quantization and position coding design to allow a system according to the present invention to operate properly in low, medium and high bit rate situations. These new algorithm components can result in a faster encoding process and improved compression performance over previous matching pursuit based video coders.
机译:本发明提供了一种使用改进的匹配追踪算法基于不完全基础变换来压缩数字运动图像或视频信号的方法。更具体地,本发明集中于对运动残差图像的有效编码,该运动残差图像是由运动估计和补偿过程生成的。残差能量分割算法(RESA)可用于获得残差图像中高能区域的形状和位置的初始估计。渐进消除算法(PEA)可用于减少匹配追踪过程中匹配评估的数量。 RESA和PEA可以多次提高编码器速度,以便从预先指定的过完整基础字典中找到匹配的基础。匹配模式的三个参数组成一个原子,该原子定义字典的索引和所选基准的位置以及所选基准模式和残差信号之间的内积。本发明提供了一种使用四叉树样技术的新原子位置编码方法和新的原子模量量化方案。为量化和位置编码设计提供了一种简单而有效的自适应机制,以允许根据本发明的系统在低,中和高比特率的情况下正常工作。与以前的基于匹配追踪的视频编码器相比,这些新的算法组件可导致更快的编码过程和改进的压缩性能。

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