Content-Based Image Retrial Based on Hadoop

Abstract EN

Generally, time complexity of algorithms for content-based image retrial is extremely high.

In order to retrieve images on large-scale databases efficiently, a new way for retrieving based on Hadoop distributed framework is proposed.

Firstly, a database of images features is built by using Speeded Up Robust Features algorithm and Locality-Sensitive Hashing and then perform the search on Hadoop platform in a parallel way specially designed.

Considerable experimental results show that it is able to retrieve images based on content on large-scale cluster and image sets effectively.