一个基于Java的开源图像检索引擎

Lazaros Tsochatzidis, C. Iakovidou, S. Chatzichristofis, Y. Boutalis
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引用次数: 4

摘要

金毛图像检索引擎(GRire)是一个开源的轻量级Java库,用于基于内容的图像检索(CBIR)任务,采用视觉词包(BOVW)模型。它为创建CBIR系统提供了一个完整的框架,包括图像分析工具、分类器、加权方案等,以实现高效的索引和检索程序。它的突出特点是可扩展性,这是通过库的开源特性以及用户友好的嵌入式插件系统实现的。GRire可以在http://www.grire.net和其谷歌Code页面http://code.google.com/p/grire上在线获得安装和开发文档。它可以作为Java库发布,也可以作为独立的Java应用程序发布,两者都是GPL许可的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Golden retriever: a Java based open source image retrieval engine
Golden Retriever Image Retrieval Engine (GRire) is an open source light weight Java library developed for Content Based Image Retrieval (CBIR) tasks, employing the Bag of Visual Words (BOVW) model. It provides a complete framework for creating CBIR system including image analysis tools, classifiers, weighting schemes etc., for efficient indexing and retrieval procedures. Its eminent feature is its extensibility, achieved through the open source nature of the library as well as a user-friendly embedded plug-in system. GRire is available on-line along with install and development documentation on http://www.grire.net and on its Google Code page http://code.google.com/p/grire. It is distributed either as a Java library or as a standalone Java application, both GPL licensed.
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