A Mahout Based Image Classification Framework for Very Large Dataset

摘要：

　　In this paper,we present a distributed computing framework for image classification towards the current challenge of image big data due to enormous streaming image data sources,such as image sharing over online social network and massive video surveillance streams from ubiquitous cameras all over our daily life.The proposed framework consists of four modules aiming at feature extraction,dimension reduction,bag of feature modeling,and supervised learning respectively.This distributed computing framework is implemented on Hadoop with Mahout support.We apply the framework for classifying whether a person is on calling or not in a surveillance video to verify the correctness and scalability.

关键词： Map-Reduce Big Data Bag of Feature Image classification

作者: Jun He Zhi-Yun Xue Ming-Wei Gao Hao Wu

作者单位: School of Electronic and Information Engineering Nanjing University of Information Science and Techn School of Information Science and Engineering Yunnan University No.2 North Green Lake Road,Kunming 6

会议类型: 国际会议

会议名称: 2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

会议地点: 长春

会议语种:英文

页码: 119-122

在线出版日期: 2014-12-13（万方平台首次上网日期，不代表论文的发表时间）