A motion compression/reconstruction method based on max-t norm composite fuzzy relational equations

A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations (MCF) is proposed, where 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. A design method of non-uniform coders is proposed to perform eective compression/reconstruction of the P-pictures based on an overlap level of fuzzy sets and a fuzzy equalization. An experiment using 10 P-pictures conrms that the root means square error of the proposed method is decreased to 89:4% of that one of the uniform coders under the condition that compression rate is 0.0057. Two test motions ('Tennis' and 'Woman', 100 frames) are compressed and reconstructed by the proposed MCF.