Massive Images Retrieval System Based on Hadoop
Huang Cai-feng · Computer Technology and Development · 2013
In a traditional single-node architecture image retrieval system,facing the problems of slow retrieval speed,poor concurrency etc when retrieved massive image data,proposed an image retrieval method based on the Hadoop,combining image retrieval technology with MapReduce frame,image feature database stored in the distributed file system HDFS,computing nodes using the scheduling algorithm based on Hadoop distributed storage,enhanced concurrent processing capability for multiple data,at the same time compressed the calculated data.Test and experiment results show that,the method in dealing with large data retrieval,compared with the single-node retrieval system,can effectively reduce the search time,improve the retrieval speed.