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Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database

机译:基于WCF和Microsoft SQL Server数据库的用于存储可视数据的多层体系结构

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In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as SQL database management systems and service-oriented frameworks. The proposed solution is based on a multi-layer architecture, which allows to replace any component without recompilation of other components. The approach contains five components, i.e. Model, Base Engine, Concrete Engine, CBIR service and Presentation. They were based on two well-known design patterns: Dependency Injection and Inverse of Control. For experimental purposes we implemented the SURF local interest point detector as a feature extractor and K-means clustering as indexer. The presented architecture is intended for content-based retrieval systems simulation purposes as well as for real-world CBIR tasks.
机译:在本文中,我们提出了一种用于存储视觉数据的新颖架构。有效地存储,浏览和搜索图像集合是计算机科学的最重要挑战之一。用于存储此类数据的体系结构的设计需要一组工具和框架,例如SQL数据库管理系统和面向服务的框架。所提出的解决方案基于多层体系结构,该体系结构允许替换任何组件而无需重新编译其他组件。该方法包含五个组件,即模型,基本引擎,混凝土引擎,CBIR服务和演示。它们基于两种众所周知的设计模式:依赖注入和控制逆。出于实验目的,我们将SURF局部兴趣点检测器实现为特征提取器,并将K均值聚类为索引器。提出的体系结构旨在用于基于内容的检索系统仿真以及现实世界中的CBIR任务。

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