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.
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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
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DOI: https://doi.org/10.1007/978-3-642-04447-2_67
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