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

  • Mathias Lux
  • Glenn Macstravic
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8326)


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.


Content Based Image Retrieval Retrieval Server 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mathias Lux
    • 1
  • Glenn Macstravic
    • 2
  1. 1.Klagenfurt UniversityKlagenfurtAustria
  2. 2.World Intellectual Property OrganizationGeneva 20Switzerland

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