Abstract
In this paper, we present our approaches for the WikipediaMM task at ImageCLEF 2008. We first experimented with a text-based image retrieval approach with query expansion, where the extension terms were automatically selected from a knowledge base that was semi-automatically constructed from Wikipedia. Encouragingly, the experimental results rank in the first place among all submitted runs. We also implemented a content-based image retrieval approach with query-dependent visual concept detection. Then cross-media retrieval was successfully carried out by independently applying the two meta-search tools and then combining the results through a weighted summation of scores. Though not submitted, this approach outperforms our text-based and content-based approaches remarkably.
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References
Tian, Y.H., Huang, T.J., Gao, W.: Exploiting multi-context analysis in semantic image classification. J. Zhejiang Univ. SCI. 6A(11), 1268–1283 (2005)
Strube, M., Ponzetto, S.: WikiRelate! Computing semantic relatedness using Wikipedia. In: Proc. of National Conference on Artificial Intelligence (AAAI 2006), Boston, Mass, pp. 1419–1424 (2006)
Nakayama, K., Hara, T., Nishio, S.: A thesaurus construction method from large scale web dictionaries. In: Proc. of IEEE International Conference on Advanced Information Networking and Applications (AINA 2007), pp. 932–939 (2007)
Huang, C., Tian, Y.H., Zhou, Z., Ling, C.X., Huang, T.J.: Keyphrase extraction using Semantic Networks Structure Analysis. In: Proc. of the sixth IEEE Int’l. Conf. on Data Mining (ICDM 2006), pp. 275–284. IEEE press, Hong Kong (2006)
Lowe, D.: Object recognition from local scale-invariant feature. In: Proc. Int’l Conf. Computer Vision (ICCV 1999), pp. 1150–1157 (1999)
Lazebnik, S., Schmid, C., Ponce, J.: Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In: Proceedings of the IEEE CVPR 2006, pp. 2169–2178 (2006)
Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Machine Learning 41, 177–196 (2001)
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach Intell. 22(12), 1349–1380 (2000)
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Zhou, Z., Tian, Y., Li, Y., Huang, T., Gao, W. (2009). Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. 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_99
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DOI: https://doi.org/10.1007/978-3-642-04447-2_99
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