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

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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.

content-based image retrieval (CBIR)parallel computingshared-memoryfeature extractionsimilarity comparison

CHEN Wen-hao、FANG Yu-chun、YAO Ji-feng、ZHANG Wu

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School of Computer Engineering and Science,Shanghai University,Shanghai 200072,P.R.China

Shanghai Supercomputer Center,Shanghai 201203,P.R.China

High Performance Computing Center,Shanghai University,Shanghai 200072,P.R.China

Natural Science Foundation of ShanghaiShanghai Leading Academic Discipline ProjectOpen Project Program of the National Laborator

08ZR1408200J50103

2010

10.1007/s11741-010-0111-3

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2010.14(1)
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