Title :
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
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;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.150
