DocumentCode
3306145
Title
A Novel Semantic-Based Image Retrieval Method
Author
Lakdashti, Abolfazl ; Moin, M. Shahram ; Badie, Kambiz
Author_Institution
Sari Branch, Islamic Azad Univ., Sari
Volume
2
fYear
2008
fDate
17-20 Feb. 2008
Firstpage
969
Lastpage
974
Abstract
In this paper, we design a fuzzy system for image retrieval to reduce the semantic gap in the content-based image retrieval systems. Our main contribution is three-fold: (1) designing a fuzzy modeling approach to model the expert human behavior in the image retrieval task, (2) a fuzzy system for semantic-based image retrieval, and (3) a training algorithm for creating the fuzzy rules. The proposed solution not only is a novel idea in the semantic-based image retrieval field, but has enough potential in learning semantics from the user and making a powerful approach to improve the performance of CBIR systems, as our experiments on a set of 2000 images supports our claim.
Keywords
image retrieval; semantic-based image retrieval method; Algorithm design and analysis; Biomedical imaging; Content based retrieval; Fuzzy systems; Humans; Image databases; Image retrieval; Information retrieval; Internet; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
Conference_Location
Gangwon-Do
ISSN
1738-9445
Print_ISBN
978-89-5519-136-3
Type
conf
DOI
10.1109/ICACT.2008.4493928
Filename
4493928
Link To Document