Abstract
This paper describes the participation of the Human Interface Laboratory of Meiji University in the ImageCLEF2008 photo retrieval task. We submitted eight retrieval runs taking two main approaches. The first approach combined Text-Based Image Retrieval (TBIR) and Context-Based Image Retrieval (CBIR). The second approach applied query expansion using conceptual fuzzy sets (CFS). A CFS is a method that uses the expression of meaning depending on the context, which an ordinary fuzzy set does not recognize. A conceptual dictionary is necessary to perform query expansion using CFS, and this is constructed by clustering. We propose here the use of query expansion with CFS and other techniques, for image retrieval that integrates different media, and we verify the utility of the system by explaining our experimental results. This time, TBIR+CFS in the system which we proposed is selected No.1 with “Text Only” runs, and we demonstrated that question expansion with CFS produced higher search results.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Arni, T., Clough, P., Sanderson, M., Grubinger, M.: Overview of the ImageCLEFphoto2008 Photographic Retrieval Task. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 500–511. Springer, Heidelberg (2009)
ImageCLEFphoto2008, http://www.imageclef.org/2008/photo
Chen, Y.-C., Sekiya, H., Takagi, T.: Conceptualized Queries for Information Retrieval. In: Proceedings of North American Fuzzy Information Processing Society Annual Conference, NAFIPS (2007)
Rahman, M.M., Sood, V.K., Desai, B.C., Bhattacharya, P.: CINDI at imageCLEF 2006: Image retrieval & annotation tasks for the general photographic and medical image collections. In: Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF 2006. LNCS, vol. 4730, pp. 715–724. Springer, Heidelberg (2007)
Apache Lucene, http://lucene.apache.org/
Robertson, S.E., Walker, S., Jones, S.: Micheline Hancock-Beaulieu, and Mike Gatford, “Okapi at TREC-3”. In: Proceedings of the Third Text Retrieval Conference, TREC (1994)
Deng, Y., Manjunath, B.S.: Unsupervised segmentation of color-texture regions in images and video. Transactions of Pattern Analysis and Machine Intelligence 2001 (2001)
Maillot, N., Chevallet, J.-P., Valea, V., Lim, J.H.: IPAL Inter-Media Pseudo-Relevance Feedback Approach to ImageCLEF 2006 Photo Retrieval. In: Proceedings of the Cross Language Evaluation Forum (CLEF) 2006 Workshop, Alicante, Spain (2006)
Liu, H., Song, D., Ruger, S., Hu, R., Uren, V.: Comparing Dissimilarity Measures for Content-Based Image Retrieval. In: Li, H., Liu, T., Ma, W.-Y., Sakai, T., Wong, K.-F., Zhou, G. (eds.) AIRS 2008. LNCS, vol. 4993, pp. 44–50. Springer, Heidelberg (2008)
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
Yamauchi, K., Nomura, T., Usui, K., Kamoi, Y., Takagi, T. (2009). Meiji University at ImageCLEF2008 Photo Retrieval Task: Evaluation of Image Retrieval Methods Integrating Different Media. 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_67
Download citation
DOI: https://doi.org/10.1007/978-3-642-04447-2_67
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)