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The LIRE Request Handler: A Solr Plug-In for Large Scale Content Based Image Retrieval

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MultiMedia Modeling (MMM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8326))

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Abstract

Big data in the visual domain and large scale image retrieval are current and pressing topics. In this demo paper we describe a specific implementation, that allows for large scale content based image retrieval using the Apache Solr search server. The combination of the robust and well accepted Apache Solr search server with the LIRE content based search framework provides an easy to use and well performing combination of two popular open source tools. We demonstrate the usefulness of our plug-in based the a real life scenario of visual trademark search with more than 1,800,000 images.

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References

  1. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. 40(2), 1–60 (2008)

    Article  Google Scholar 

  2. Hare, J.S., Samangooei, S., Dupplaw, D.P.: OpenIMAJ and ImageTerrier: Java libraries and tools for scalable multimedia analysis and indexing of images. In: Proceedings of the 19th ACM MM, MM 2011, pp. 691–694. ACM, New York (2011)

    Google Scholar 

  3. Müller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content-based image retrieval systems in medical applications—clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)

    Article  Google Scholar 

  4. Lux, M., Marques, O.: Visual information retrieval using java and lire. Synthesis Lectures on Information Concepts, Retrieval, and Services 5(1), 1–112 (2013)

    Article  Google Scholar 

  5. Rüger, S.: Multimedia information retrieval. Synthesis Lectures on Information Concepts, Retrieval, and Services 1(1), 1–171 (2009)

    Article  Google Scholar 

  6. Lux, M.: LIRE: Open source image retrieval in java. To appear in Proceedings of the 21st ACM International Conference on Multimedia, MM 2013. ACM, New York (2013)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Lux, M., Macstravic, G. (2014). The LIRE Request Handler: A Solr Plug-In for Large Scale Content Based Image Retrieval. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_39

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  • DOI: https://doi.org/10.1007/978-3-319-04117-9_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04116-2

  • Online ISBN: 978-3-319-04117-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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