Large-scale multimedia data mining using MapReduce framework

Hanli Wang, Yun Shen, Lei Wang, Kuangtian Zhufeng, Wei Wang, Cheng Cheng
2012 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings  
In this paper, the framework of MapReduce is explored for large-scale multimedia data mining. Firstly, a brief overview of MapReduce and Hadoop is presented to speed up large-scale multimedia data mining. Then, the high-level theory and low-level implementation for several key computer vision technologies involved in this work are introduced, such as 2D/3D interest point detection, clustering, bag of features, and so on. Experimental results on image classification, video event detection and
more » ... r-duplicate video retrieval are carried out on a five-node Hadoop cluster to demonstrate the efficiency of the proposed MapReduce framework for large-scale multimedia data mining applications.
doi:10.1109/cloudcom.2012.6427595 dblp:conf/cloudcom/WangSWZWC12 fatcat:ceowcsdisjhhxgme5eqerbnila