Title :
The approach of using fractal dimension and linguistic descriptors in CBIR
Author_Institution :
Comput. Sci. & Inf. Technol. Dept., Jin-Wen Technol. Univ., Taipei, Taiwan
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359631
