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Macro motion vector quantization

机译:宏运动矢量量化

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Abstract: A new algorithm is developed for reducing the bit rate required for motion vectors. This algorithm is a generalization of block matching motion estimation in which the search region is represented as a codebook of motion vectors. The new algorithm, called macro motion vector quantization (MMVQ), generalized our earlier MVQ by coding a group of motion vectors. The codebook is a set of macro motion vectors which represent the block locations of the small neighboring blocks in the previous frame. We develop an interative design algorithm for the codebook. Our experiments show that the variances of displaced frame differences (DFDs) are reduced significantly compared to block matching algorithm (BMA) with the macroblock size.!5
机译:摘要:开发了一种新的算法来降低运动矢量所需的比特率。该算法是块匹配运动估计的一般化,其中将搜索区域表示为运动矢量的码本。这种称为宏运动矢量量化(MMVQ)的新算法通过对一组运动矢量进行编码来推广我们之前的MVQ。该码本是一组宏运动矢量,它们代表前一帧中相邻小块的块位置。我们为密码本开发了一个交互式设计算法。我们的实验表明,与具有宏块大小的块匹配算法(BMA)相比,位移帧差(DFD)的方差显着降低了!5

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