Fast-Image-Retrieval

The code contains the implementation of idea of the following paper with our improvements. A statistical based model which, when given a query image finds all the images similar to it from a corpus of images. Used a faster k-means with the k-means++ initialization from scikit’s library. On top of that, created a distributed input division to parallelly execute the k-means algorithm with different configuration across different cores. Used LSH with p-stable distribution to match queries with similar images. Used vector hashing to decrease the turn around time and increase throughput.