A DISPATCHER-DRIVEN PROCESSING ARCHITECTURE FOR IMAGE SIMILARITY RETRIEVAL USING CLUSTERED RELAXATION MATCHING SERVERS

A DISPATCHER-DRIVEN PROCESSING ARCHITECTURE FOR IMAGE SIMILARITY RETRIEVAL USING CLUSTERED RELAXATION MATCHING SERVERS
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使用集群松弛匹配服务器进行图像相似度检索的调度程序驱动的处理架构

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发表时间:
2002
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通讯作者:
P. Kwan
P. Kwan
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作者:
P. Kwan

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介绍了一种可扩展的调度器驱动的图像相似性检索的处理架构,利用集群松弛匹配服务器。文献报道适应高效,但计算密集型松弛匹配算法在线应用程序主要集中在并行硬件实现的架构。相比之下,我们的体系结构是基于软件的,并实现其可扩展性,通过使用一个可调的调度器与可变数量的松弛匹配服务器上同时执行网络连接的工作站。实验结果表明,所提出的体系结构的响应时间方面的可扩展性。所提出的架构不限于使用基于松弛匹配的服务器,而是也适用于其他类型的图像匹配服务器。
A scalable dispatcher-driven processing architecture for image similarity retrieval that makes use of clustered relaxation matching servers is introduced. Literature reports on adapting the highly effective but computation intensive relaxation matching algorithm to on-line applications had primarily focused on architectures for parallel hardware implementation. In contrast, our architecture is software-based and achieves its scalability by using a tuneable dispatcher with variable number of relaxation matching servers executing concurrently on network connected workstations. Experimental results illustrating the scalability of the proposed architecture in terms of response time are given. The proposed architecture is not limited to using relaxation matching based servers, but is also applicable to other types of image matching server as well.