Lucene/Solr Revolution2016

Images as big data' is an especially interesting topic in the era of high-performance systems based on Solr, Hadoop, and Apache Spark. Machine learning and image analysis packages are readily available to apply to this problem, and high quality industrial applications may be built from off-the-shelf third party components. In this talk, we will discuss a case study based on an 'image as big data' analytical system --- the Image as Big Data Toolkit (IABDT). IABDT uses Lucene, distributed Lucene, Solr, and Hadoop as key component technologies. We will present examples of IABDT in action, using Solr as a key search technology in its implementation, show a medical image case study, and discuss future work and extensions of the IABDT system.