A classification method of images based on composition and its application to image retrieval

Author

Maeda, Shigenori ; Mukunoki, Masayuki ; Ikeda, Katsuo

Author_Institution

Sch. of Inf., Kyoto Univ., Japan

Volume

2

fYear

1999

fDate

36342

Firstpage

240

Abstract

We propose a visual query method for image retrieval, in which the user expresses the composition of the target image by selecting one of the composition types presented by the system, and also propose an image classification method to derive composition types from an image database. From the viewpoint of communication between the system and its user, we point out the problem of visual query methods using concrete images as queries. Though suited to convey visual image properties, they increase the ambiguity in the system´s interpretation of queries. To manage this tradeoff, we implemented methods in a prototype system and derived composition types from an image database to show how our query method works in image retrieval

Keywords

image classification; image retrieval; visual databases; image classification; image composition; image database; image retrieval; prototype system; query processing; visual image properties; visual query; Clocks; Concrete; Content based retrieval; Image communication; Image databases; Image resolution; Image retrieval; Informatics; Information retrieval; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 1999. IEEE International Conference on

Conference_Location

Florence

Print_ISBN

0-7695-0253-9

Type

conf

DOI

10.1109/MMCS.1999.778300

Filename

778300