Paper Info
Title
Retrieving images in fuzzy object-relational databases using dominant color descriptors
Abstract
In this paper a fuzzy approach for image retrieval on the basis of color features is presented. The proposal deals with vagueness in the color description and introduces the use of fuzzy database models to store and retrieve imprecise data. To face the color description, the concept of dominant fuzzy color is proposed, using linguistic labels for representing the color information in terms of hue, saturation and intensity. To deal with fuzzy data in our database model, we use a general approach which can support the manipulation of fuzzy objects in an object-relational database system. This allows the retrieval of images by performing flexible queries on the database.
Year
DOI
Venue
2007
10.1016/j.fss.2006.10.013
Fuzzy Sets and Systems
Keywords
Field
DocType
fuzzy databases,fuzzy approach,image retrieval,fuzzy color descriptor,object-relational database system,fuzzy database model,fuzzy data,dominant fuzzy colors,fuzzy object,color description,dominant fuzzy color,color feature,database model,color information,dominant color descriptors,fuzzy object-relational databases,retrieving image
Vagueness,Information retrieval,Database model,Relational database,Fuzzy logic,Hue,Image retrieval,Fuzzy set,Fuzzy control system,Mathematics
Journal
Volume
Issue
ISSN
158
3
Fuzzy Sets and Systems
Citations 
PageRank 
References 
30
1.34
16
Authors
5
Name
Order
Citations
PageRank
J. Chamorro-Martínez1935.99
J. M. Medina217913.50
C. D. Barranco3452.14
E. Galan-Perales4393.03
J. M. Soto-Hidalgo5332.49