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International Conference on Similarity Search and Applications

SISAP 2012: Similarity Search and Applications pp 240–241Cite as

SIR: The Smart Image Retrieval Engine

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7404))

Abstract

We present the Smart Image Retrieval meta-search engine that allows content-based exploration of the results obtained from various sources (mostly based on keyword query). The online feature extraction architecture and exploration models utilizing single-/multi-query approaches are the two key features of our demo application that shows very promising results.

This research has been supported in part by Czech Science Foundation projects P202/11/0968 and P202/12/P297.

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References

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Author information

Authors and Affiliations

  1. SIRET Research Group, Dept. of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic

    Jakub Lokoč, Tomáš Grošup & Tomáš Skopal

Authors
  1. Jakub Lokoč
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  2. Tomáš Grošup
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  3. Tomáš Skopal
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Chile, Chile

    Gonzalo Navarro

  2. Department of Mathematics and Statistics, University of Ottawa, 585 King Edward Avenue, K1N 6N5, Ottawa, ON, Canada

    Vladimir Pestov

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lokoč, J., Grošup, T., Skopal, T. (2012). SIR: The Smart Image Retrieval Engine. In: Navarro, G., Pestov, V. (eds) Similarity Search and Applications. SISAP 2012. Lecture Notes in Computer Science, vol 7404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32153-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-32153-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32152-8

  • Online ISBN: 978-3-642-32153-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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