Non-uniform coders design for motion compression method by fuzzy relational equations

Authors:
Hajime Nobuhara;Kaoru Hirota
Affiliations:
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Nagatsuta, Midiri-ku, Yokohama, Japan;Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Nagatsuta, Midiri-ku, Yokohama, Japan
Venue:
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Year:
2003

Citing 2
Cited 1

Fuzzy relational compression

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction

IEEE Transactions on Fuzzy Systems

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

Information Sciences: an International Journal

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Abstract

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 for non-uniform coders is proposed. The proposed design method is based on an overlap level of fuzzy sets and a fuzzy equalization. Through an 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 0.0625.