Multi-core based parallel computing technique for content-based image retrieval  

作　　者：陈文浩 方昱春 姚继锋 张武 

机构地区：[1]School of Computer Engineering and Science,Shanghai University [2]Shanghai Supercomputer Center [3]High Performance Computing Center,Shanghai University

出　　处：《Journal of Shanghai University(English Edition)》2010年第1期55-59,共5页上海大学学报（英文版）

基　　金：supported by the Natural Science Foundation of Shanghai (Grant No.08ZR1408200);the Shanghai Leading Academic Discipline Project (Grant No.J50103);the Open Project Program of the National Laboratory of Pattern Recognition

摘　　要：In this paper, we propose a parallel computing technique for content-based image retrieval （CBIR） system. This technique is mainly used for single node with multi-core processor, which is different from those based on cluster or network computing architecture. Due to its specific applications （such as medical image processing） and the harsh terms of hardware resource requirement, the CBIR system has been prevented from being widely used. With the increasing volume of the image database, the widespread use of multi-core processors, and the requirement of the retrieval accuracy and speed, we need to achieve a retrieval strategy which is based on multi-core processor to make the retrieval faster and more convenient than before. Experimental results demonstrate that this parallel architecture can significantly improve the performance of retrieval system. In addition, we also propose an efficient parallel technique with the combinations of the cluster and the multi-core techniques, which is supposed to gear to the new trend of the cloud computing.In this paper, we propose a parallel computing technique for content-based image retrieval （CBIR） system. This technique is mainly used for single node with multi-core processor, which is different from those based on cluster or network computing architecture. Due to its specific applications （such as medical image processing） and the harsh terms of hardware resource requirement, the CBIR system has been prevented from being widely used. With the increasing volume of the image database, the widespread use of multi-core processors, and the requirement of the retrieval accuracy and speed, we need to achieve a retrieval strategy which is based on multi-core processor to make the retrieval faster and more convenient than before. Experimental results demonstrate that this parallel architecture can significantly improve the performance of retrieval system. In addition, we also propose an efficient parallel technique with the combinations of the cluster and the multi-core techniques, which is supposed to gear to the new trend of the cloud computing.

关 键 词：content-based image retrieval （CBIR） parallel computing SHARED-MEMORY feature extraction similarity comparison 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]