Presentation 1993/4/10
Data model and retrieval method for image database based on fuzzy set theory
Katsumi Yoshine, Yukuo Isomoto, Naohiro Ishii,
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Abstract(in English) In this paper,we discuss how to store fuzzy data in a image database and search the data with fuzzy retrieval condition.Recent multi-media technologies encourage us to implement a complicate image database.An image whose content is full of variety allows a person to enjoy the image in the way of his own feeling and understandings.Generally speaking,the more the data model is complicate,the more its retrieval condition becomes relatively vague and flexible.In order to establish a theoretical foundation for the image database,the authors formulate a data model and a retrievalmethod in the fuzzy set theory.
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Keyword(in English) image database / information retrieval / fuzzy set theory
Paper # ET93-15,AI93-15
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Committee ET
Conference Date 1993/4/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data model and retrieval method for image database based on fuzzy set theory
Sub Title (in English)
Keyword(1) image database
Keyword(2) information retrieval
Keyword(3) fuzzy set theory
1st Author's Name Katsumi Yoshine
1st Author's Affiliation Computation Center,Nagoya City University()
2nd Author's Name Yukuo Isomoto
2nd Author's Affiliation Computation Center,Nagoya City University
3rd Author's Name Naohiro Ishii
3rd Author's Affiliation Department of Intelligence and Computer Science,Nagoya Institute of Technology
Date 1993/4/10
Paper # ET93-15,AI93-15
Volume (vol) vol.93
Number (no) 1
Page pp.pp.-
#Pages 6
Date of Issue