Abstract
This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses Lucene for text indexing and LIRE for image indexing. We experiment with several clustering methods in order to retrieve images from diverse clusters. The clustering methods are: k-means clustering, hierarchical clustering, and our own method based on WordNet. We present results for thirteen runs, in order to compare retrieval based on text description, to image-only retrieval, and to merged retrieval, and to compare results for the different clustering methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fellbaum, C. (ed.): WordNet, An Electronic Lexical Database. MIT Press, Cambridge (1998)
Lee, J.H.: Combining multiple evidence from different properties of weighting schemes. In: Proceedings of the Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, Seattle, Washington, United States. ACM, New York (1995)
Shaw, J.A., Fox, E.A.: Combination of Multiple Searches. National Institute of Standards and Technology Special Publication (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Inkpen, D., Stogaitis, M., DeGuire, F., Alzghool, M. (2009). Clustering for Photo Retrieval at Image CLEF 2008. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_86
Download citation
DOI: https://doi.org/10.1007/978-3-642-04447-2_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
eBook Packages: Computer ScienceComputer Science (R0)