The approach of using fractal dimension and linguistic descriptors in CBIR

Author

Shih, An-zen

Author_Institution

Comput. Sci. & Inf. Technol. Dept., Jin-Wen Technol. Univ., Taipei, Taiwan

Volume

5

fYear

2012

fDate

15-17 July 2012

Firstpage

1704

Lastpage

1707

Abstract

In this paper we describe a system which uses linguistic expression and fractal dimensions to retrieve images in database. Brodaz texture images are used for our experiment. In addition, Taruma features are used to extract images of the database and several linguistic expressions are used for classified the images. These linguistic expressions, with the help of fractal dimension are more efficient in searching images. By visual inspection, we are satisfied with our experiment results.

Keywords

computational linguistics; content-based retrieval; feature extraction; fractals; image classification; image retrieval; image texture; visual databases; Brodaz texture images; CBIR; Taruma features; content-based image retrieval; fractal dimension; image classification; image database; image extraction; linguistic descriptors; linguistic expression; visual inspection; Abstracts; Computers; Head; Multimedia communication; Pragmatics; Semantics; Visualization; Object-ontology; content-based image retrieval; fractal dimension;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6359631

Filename

6359631