@inproceedings{1fc972477f014ab8b5f9c0251e087146,
title = "Non-uniform coders design for motion compression method by fuzzy relational equations",
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 predictivepictures (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.",
author = "Hajime Nobuhara and Kaoru Hirota",
note = "Publisher Copyright: {\textcopyright} 2003 Springer-Verlag Berlin Heidelberg.; 10th International Fuzzy Systems Association World Congress, IFSA 2003 ; Conference date: 30-06-2003 Through 02-07-2003",
year = "2003",
doi = "10.1007/3-540-44967-1_51",
language = "English",
isbn = "3540403833",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "428--435",
editor = "Taner Bilgic and {De Baets}, Bernard and Okyay Kaynak",
booktitle = "Fuzzy Sets and Systems - IFSA 2003",
address = "Germany",
}