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Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval

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Book cover Evaluation of Multilingual and Multi-modal Information Retrieval (CLEF 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4730))

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Abstract

This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media Pseudo-Relevance Feedback approach shows how the image modality can be used for expanding the text query and significantly improve the performance (MAP) of a multimedia information retrieval system. The document collection used for experiments is provided by the International Association for Pattern Recognition (IAPR) [1]. The proposed approach is completely automatic and has been used to participate to the ImageCLEF 2006 Photo Retrieval task.

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References

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Carol Peters Paul Clough Fredric C. Gey Jussi Karlgren Bernardo Magnini Douglas W. Oard Maarten de Rijke Maximilian Stempfhuber

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© 2007 Springer-Verlag Berlin Heidelberg

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Maillot, N., Chevallet, JP., Lim, J.H. (2007). Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_92

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  • DOI: https://doi.org/10.1007/978-3-540-74999-8_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74998-1

  • Online ISBN: 978-3-540-74999-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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