LireSolr: A Visual Information Retrieval Server

M. Lux, M. Riegler, P. Halvorsen, Glenn Macstravic
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Abstract

In this paper, we present LireSolr, an open source image retrieval server, build on top of the LIRE library and the Apache Solr search server. With LireSolr, visual information retrieval can be run on a server, which allows better distribution of workloads and simplifies applications in several areas including mobile and web. Furthermore, we showcase several example scenarios how LireSolr can be used to point out the broad range of possibilities and applications. The system is easy to install and setup, and the large number of retrieval tools either provided by LIRE or by other Apache Solr is made easily available on the search server. Moreover, our tool demonstrates how predictions from CNNs can easily be used to extend the visual information retrieval functionality.
LireSolr:一个可视化信息检索服务器
在本文中,我们介绍了LireSolr,一个开源的图像检索服务器,建立在live库和Apache Solr搜索服务器之上。使用LireSolr,可视化信息检索可以在服务器上运行,这允许更好地分配工作负载,并简化了包括移动和web在内的多个领域的应用程序。此外,我们还展示了几个示例场景,如何使用LireSolr来指出广泛的可能性和应用程序。该系统易于安装和设置,并且由live或其他Apache Solr提供的大量检索工具可以在搜索服务器上轻松获得。此外,我们的工具演示了如何使用cnn的预测来扩展视觉信息检索功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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