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A motion compression method by fuzzy relational equations

机译:一种基于模糊关系方程的运动压缩方法

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A motion compression method by max t-norm composite fuzzy relational equations (MCF) is proposed. In the case of MCF, a motion sequence is divided into intra-pictures (I-pictures) and predictive-pictures (P-pictures). The I-pictures and the P-pictures are compressed by using uniform coders and non-uniform coders, respectively. In order to perform an effective compression and reconstruction of the P-pictures, a design method of non-uniform coders is proposed. The proposed design method is based on an overlap level of fuzzy sets and a fuzzy equalization. Through a experiment using 10 P-pictures, it is confirmed that the root means square errors of the proposed method is decreased to 89.4% of the uniform coders, under the condition that the compression rate is 0.0057. A result of motion compression and reconstruction of motion (standard motion imagery) by MCF is also presented.
机译:提出了一种基于最大t范数复合模糊关系方程(MCF)的运动压缩方法。在MCF的情况下,将运动序列分为帧内图片(I图片)和预测图片(P图片)。通过分别使用统一编码器和非统一编码器来压缩I图片和P图片。为了对P图像进行有效的压缩和重构,提出了一种非均匀编码器的设计方法。所提出的设计方法基于模糊集和模糊均衡的重叠程度。通过使用10张P图像进行的实验,确认了在压缩率为0.0057的情况下,所提方法的均方根误差降低到统一编码器的89.4%。还介绍了运动压缩和MCF重建运动(标准运动图像)的结果。

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