A World Wide Web region-based image search engine

Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI:10.1109/ICIAP.2001.957041

Y. Kompatsiaris, Evangelia Triantafyllou, M. Strintzis

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引用次数: 21

Abstract

The development of an intelligent image content-based search engine for the World-Wide Web is presented. This system will offer a new form of media representation and access of content available in the WWW. Information web crawlers continuously traverse the Internet and collect images that are subsequently indexed based on integrated feature vectors. As a basis for the indexing, the K-means algorithm is used, modified so as to take into account the coherence of the regions. Based on the extracted regions, characteristic features are extracted using color texture and shape/region boundary information. These features along with additional information such as the URL location and the date of index procedure are stored in a database. The user can access and search this indexed content through the Web with an advanced and user-friendly interface. The output of the system is a set of links to the content available in the WWW, ranked according to their similarity to the image submitted by the user. Experimental results demonstrate the performance of the system.

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一个基于万维网区域的图像搜索引擎

介绍了一种基于图像内容的智能万维网搜索引擎的开发。这个系统将提供一种新的媒体表现形式和对万维网上可用内容的访问。信息网络爬虫不断地遍历互联网并收集图像，然后基于集成的特征向量对图像进行索引。作为索引的基础，使用K-means算法，并对其进行了修改，以考虑区域的相干性。在提取区域的基础上，利用颜色纹理和形状/区域边界信息提取特征特征。这些特性以及URL位置和索引过程日期等附加信息存储在数据库中。用户可以使用高级的用户友好界面通过Web访问和搜索这些索引内容。系统的输出是一组指向WWW中可用内容的链接，根据它们与用户提交的图像的相似性进行排名。实验结果验证了系统的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings 11th International Conference on Image Analysis and Processing

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