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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© 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
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