Data structure and retrieval method of scenic image database based on fuzzy set theory

Author

Isomoto, Yukuo ; Yoshine, Katsumi

Author_Institution

Comput. Center, Nagoya City Univ., Japan

Volume

2

fYear

1995

fDate

20-24 Mar 1995

Firstpage

749

Abstract

In this paper, the data structure and information retrieval are discussed for the management of an image database for storing images of sketches, pictures, paintings, etc. Because their attributes are very much fuzzy, the authors describe their fuzzy attributes in fuzzy sets and their membership functions. Corresponding to the fuzzy description, the grade of satisfaction of the information retrieval is defined by both retrieval condition and its complement. This model is suitable for the storage of fuzzy data

Keywords

data structures; fuzzy set theory; information retrieval; visual databases; data structure; fuzzy attributes; fuzzy data; fuzzy set theory; information retrieval; paintings; pictures; retrieval method; scenic image database; sketches; works of art; Art; Data structures; Fuzzy set theory; Fuzzy sets; Image databases; Image retrieval; Information retrieval; Layout; Painting; Rivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409767

Filename

409767