Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion
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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. (eds) Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg
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.
KeywordsImage retrieval textual query expansion query-dependent visual concept detection cross-media re-ranking
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