Method for data analytics on large data sets of images

Abstract

Applications analytics are growing at a rapid pace. Techniques for image processing, extraction, compression, and recognition are established and are in use. However, the presence of large data sets of images on the web is increasing exponentially. In this paper, we propose a mechanism that retrieves images from a large data set and arrive at a cluster for analysing behavioural trends. The proposed system has been implemented using distributed cloud technology and a crawler script. We arrived at interesting results and have done a comparative analysis of various social, geographical and technological trends across four well-known locations on the globe.