DocumentCode
1613400
Title
IRTF: Image Retrieval through Fuzzy Modeling
Author
Lakdashti, Abolfazl ; Moin, M. Shahram ; Badie, Kambiz
Author_Institution
Islamic Azad Univ., Sari
fYear
2008
Firstpage
490
Lastpage
494
Abstract
Semantic-based image retrieval has been one of the most challenging problems in recent years. Although so many solutions is provided for filling the so-called gap between the content based image retrieval and what human beings expect from the retrieval task, non of them yields satisfactory results and the problem is still open for further research. In this paper, we use fuzzy modeling to solve this problem which opens a new category of solutions. Our experiments show that using fuzzy modeling improves the image retrieval performance and has many benefits with respect to other solutions which brings us on further research in it.
Keywords
content-based retrieval; fuzzy set theory; image retrieval; content-based image retrieval; fuzzy modeling; semantic gap; Algorithm design and analysis; Birds; Communications Society; Content based retrieval; Data mining; Filling; Fuzzy systems; Humans; Image retrieval; Information retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.97
Filename
4533133
Link To Document