当代IR知识管理与检索技术的智能融合

A. Khodaskar, S. Ladhake
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引用次数: 0

摘要

本文简要介绍了知识在图像检索中的作用以及图像检索技术的最新进展。在基于内容的图像检索系统中,我们提出了一种新的图像检索技术,该技术结合了图像挖掘、汞合金知识管理技术和基于先进概念的图像检索技术。该系统通过对大型图像数据库的挖掘,提取知识,并采用混合知识管理方法进行管理和表示。我们引入先进的图像检索技术,根据用户要求快速准确地检索图像。我们致力于小型图像数据库。在基于内容的图像检索系统中,从查全率、查全率和查准率三个方面对该技术的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contemporary Intelligent Amalgamation of Knowledge Management and Retrieval Technique for IR
This paper presents an epigrammatic overview of role of knowledge in image retrieval and recent advances in image retrieval techniques. We also proposed a new image retrieval technique for content based image retrieval system which incorporates image mining, amalgam knowledge management technique and advance concept based image retrieval technique. Proposed system excavated knowledge by mining large image database and then extracted knowledge managed and represented by using hybrid knowledge management methodology. We introduce advanced image retrieval technique to retrieve fast and precise image as per user obligation. We work on small image database. Performance of the proposed technique in content based image retrieval system is evaluated on the basis of precision, recall and accuracy.
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