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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image database / information retrieval / fuzzy set theory |
Paper # | ET93-15,AI93-15 |
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Committee | ET |
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Conference Date | 1993/4/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Educational Technology (ET) |
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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 |
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