Content - based Image Retrieval Using Fuzzy Multiple Attribute Relational Graph


The KIPS Transactions:PartB , Vol. 8, No. 5, pp. 533-538, Oct. 2001
10.3745/KIPSTB.2001.8.5.533,   PDF Download:

Abstract

In this paper, we extend FARG's single node attribute to multiple attributes for real image application and present a new CBIR using FMARG (Fuzzy Multiple Attribute Relational Graph), which can handle queries involving multiple attributes, not only object label, but also color, texture and spatial relation. In the experiment using the synthetic image database of 1,240 images and the natural image database of 1,026 images built from NETRA database and Corel Draw, the proposed approach shows 6~30% recall increase in the synthetic image database and a good performance, at the displacements and the retrieved number of similar images in the natural image database, compared with the single attribute approach.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
S. H. Jung, "Content - based Image Retrieval Using Fuzzy Multiple Attribute Relational Graph," The KIPS Transactions:PartB , vol. 8, no. 5, pp. 533-538, 2001. DOI: 10.3745/KIPSTB.2001.8.5.533.

[ACM Style]
Sung Hwan Jung. 2001. Content - based Image Retrieval Using Fuzzy Multiple Attribute Relational Graph. The KIPS Transactions:PartB , 8, 5, (2001), 533-538. DOI: 10.3745/KIPSTB.2001.8.5.533.