A motion compression method by fuzzy relational equations

Hajime Nobuhara, Kaoru Hirota

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
主期刊副标题Computational Intelligence in Robotics and Automation for the New Millennium
出版商Institute of Electrical and Electronics Engineers Inc.
1463-1468
页数6
ISBN(电子版)0780378660
DOI
出版状态已出版 - 2003
已对外发布
活动2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, 日本
期限: 16 7月 200320 7月 2003

出版系列

姓名Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
3

会议

会议2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
国家/地区日本
Kobe
时期16/07/0320/07/03

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