Image Classification and Annotation Based on Hadoop Cloud Computing Platform

Abstract

In order to effectively deal with the massive image and video data in internet，a solution for image classification and annotation based on Hadoop cloud platform was proposed.Firstly，a system based on cloud computing was given to crawl the raw data image from WWW.Secondly，a training image extractor based on pLSA （probabilistic latent semantic analysis）was presented to help users to get training set images effectively.Thirdly，the SVM model for the system was integrated，which could be used to classify or annotate novel images.According to the experiment，the system can both meet the functional requirement and achieve optimized performance for image data classification and annotation.

Keywords

• cloud computing;training set extraction;support vector machine;visual feature extraction