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Improving Query Expansion for Image Retrieval via Saliency and Picturability

  • Conference paper
Multilingual and Multimodal Information Access Evaluation (CLEF 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6941))

Abstract

In this paper, we present a Wikipedia-based approach to query expansion for the task of image retrieval, by combining salient encyclopaedic concepts with the picturability of words. Our model generates the expanded query terms in a definite two-stage process instead of multiple iterative passes, requires no manual feedback, and is completely unsupervised. Preliminary results show that our proposed model is effective in a comparative study on the ImageCLEF 2010 Wikipedia dataset.

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References

  1. Arguello, J., Elsas, J.L., Callan, J., Carbonell, J.G.: Document representation and query expansion models for blog recommendation. In: Proceedings of the Second International Conference on Weblogs and Social Media (2008)

    Google Scholar 

  2. Hassan, S., Mihalcea, R.: Semantic relatedness using salient semantic analysis. In: Proceedings of AAAI Conference on Artificial Intelligence (2011)

    Google Scholar 

  3. Leong, C.W., Mihalcea, R., Hassan, S.: Text mining for automatic image tagging. In: Proceedings of the International Conference on Computational Linguistics (2010)

    Google Scholar 

  4. Li, Y., Luk, W.P.R., Ho, K.S.E., Chung, F.L.K.: Improving weak ad-hoc queries using wikipedia as external corpus. In: Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (2007)

    Google Scholar 

  5. Ogilvie, P., Callan, J.: Experiments using the lemur toolkit. In: Proceedings of 2001 Text REtrieval Conference (TREC 2001). National Institute of Standards and Technology (2001)

    Google Scholar 

  6. Popescu, A., Tsikrika, T., Kludas, J.: Overview of the wikipedia retrieval task at imageclef 2010. In: CLEF 2010 Labs and Workshops, Notebook Papers. Padua, Italy (2010)

    Google Scholar 

  7. Ruiz, M., Chen, J., Pasupathy, K., Chin, P., Knudson, R.: Unt at imageclef 2010: Clir for wikipedia images. In: CLEF 2010 Labs and Workshops, Notebook Papers. Padua, Italy (2010)

    Google Scholar 

  8. Xu, Y., Jones, G.J., Wang, B.: Query dependent pseudo-relevance feedback based on wikipedia. In: Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (2009)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Leong, C.W., Hassan, S., Ruiz, M.E., Mihalcea, R. (2011). Improving Query Expansion for Image Retrieval via Saliency and Picturability. In: Forner, P., Gonzalo, J., Kekäläinen, J., Lalmas, M., de Rijke, M. (eds) Multilingual and Multimodal Information Access Evaluation. CLEF 2011. Lecture Notes in Computer Science, vol 6941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23708-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-23708-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23707-2

  • Online ISBN: 978-3-642-23708-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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