Clustering for photo retrieval at Image CLEF 2008

Authors:
Diana Inkpen;Marc Stogaitis;François DeGuire;Muath Alzghool
Affiliations:
School of Information Technology and Engineering, University of Ottawa;School of Information Technology and Engineering, University of Ottawa;School of Information Technology and Engineering, University of Ottawa;School of Information Technology and Engineering, University of Ottawa
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

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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.