http://dx.doi.org/10.1007/978-3-642-27183-0_31">
 

Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Comparison of different ontology-based query expansion algorithms for effective image retrieval

Language

English

Abstract

We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval. In particular, we exploit the two concept similarities of different concept expansion ontology-WordNet Similarity, Wikipedia Similarity. Furthermore, we compare the keywords semantic distance with the precision of image search results with query expansion according to different concept expansion algorithms. We also compare the image retrieval precision of searching with the expanded query and original plain query. Preliminary experiments have been able to demonstrate that the two proposed retrieval mechanism has the potential to outperform unaided approaches. © 2011 Springer-Verlag.

Keywords

concept distance, Image retrieval, ontology, query expansion

Publication Date

2011

Source Publication Title

Signal Processing, Image Processing and Pattern Recognition: International Conference, SIP 2011, Held as Part of the Future Generation Information Technology Conference FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10, 2011. Proceedings

Start Page

291

End Page

299

Conference Location

Jeju Island, Korea

Publisher

Springer

ISBN (print)

9783642271823

ISBN (electronic)

9783642271823

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