Fuzzy Spatial Position between Objects in Image Retrieval

Author

Liu, Hui ; Zhang, Cai-Ming

Author_Institution

Dept. of Comput. Sci. & Technol., Shandong Economic Univ., Jinan

fYear

2008

fDate

23-25 May 2008

Firstpage

399

Lastpage

403

Abstract

As we all know, ambiguity of spatial position between objects is still a difficult problem for image classification and retrieval. In this paper, a fuzzy spatial position definition method between objects based on Markov Random Field (MRF) is presented. This framework is a kind of fuzzy pattern-matching approach, which consists of comparing an object to a fuzzy set and representing the degree of position satisfaction to a reference object, moreover, the intricate relationships can be represented by Fuzzy Attributed Relational Graphs (FARGs) in this method. Finally, by comparing the performance of this approach with conventional techniques, effectiveness of this method to content-based image retrieval is illuminated.

Keywords

Markov processes; content-based retrieval; fuzzy set theory; graph theory; image matching; image retrieval; Markov random field; content-based image retrieval; fuzzy attributed relational graphs; fuzzy pattern-matching approach; fuzzy set; fuzzy spatial position definition method; image retrieval; reference object; Computer science; Content based retrieval; Fuzzy sets; Image classification; Image retrieval; Information processing; Information retrieval; Markov random fields; Multimedia databases; Probability distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing (ISIP), 2008 International Symposiums on

Conference_Location

Moscow

Print_ISBN

978-0-7695-3151-9

Type

conf

DOI

10.1109/ISIP.2008.150

Filename

4554121