• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Text-based Image Indexing and Retrieval using Formal Concept Analysis

Vol. 2, No. 3, June 24, 2008
10.3837/tiis.2008.03.002, Download Paper (Free):

Abstract

In recent years, main focus of research on image retrieval techniques is on content-based image retrieval. Text-based image retrieval schemes, on the other hand, provide semantic support and efficient retrieval of matching images. In this paper, based on Formal Concept Analysis (FCA), we propose a new image indexing and retrieval technique. The proposed scheme uses keywords and textual annotations and provides semantic support with fast retrieval of images. Retrieval efficiency in this scheme is independent of the number of images in the database and depends only on the number of attributes. This scheme provides dynamic support for addition of new images in the database and can be adopted to find images with any number of matching attributes.


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Cite this article

[IEEE Style]
I. S. Ahmad, "Text-based Image Indexing and Retrieval using Formal Concept Analysis," KSII Transactions on Internet and Information Systems, vol. 2, no. 3, pp. 150-170, 2008. DOI: 10.3837/tiis.2008.03.002.

[ACM Style]
Imran Shafiq Ahmad. 2008. Text-based Image Indexing and Retrieval using Formal Concept Analysis. KSII Transactions on Internet and Information Systems, 2, 3, (2008), 150-170. DOI: 10.3837/tiis.2008.03.002.

[BibTeX Style]
@article{tiis:19790, title="Text-based Image Indexing and Retrieval using Formal Concept Analysis", author="Imran Shafiq Ahmad and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2008.03.002}, volume={2}, number={3}, year="2008", month={June}, pages={150-170}}