RF/sup */IPF:一种多媒体信息检索的加权方案

James Ze Wang, Yanping Du
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引用次数: 11

摘要

基于区域的检索方法已成为多媒体数据库检索领域的研究热点。我们提出了区域频率和逆图像频率(RF/sup */IPF)加权,这是一种用于统一基于区域的多媒体检索系统和基于文本的信息检索系统的度量。加权度量为数据库中少数图像中经常出现的区域赋予最高的权重。这些区域被认为是鉴别器。有了这个权重度量,我们就可以将图像检索技术与基于TF/sup */ idf的大规模Web应用程序文本检索技术结合起来。RF/sup */IPF加权已作为我们实验性simple图像检索系统的一部分实现,并在大约20万张通用图像的数据库上进行了测试。实验表明,该方法可以有效地识别不同语义的图像。此外,总体相似性方法为多媒体信息检索系统提供了一个简单的查询接口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RF/sup */IPF: a weighting scheme for multimedia information retrieval
The region-based approach has become a popular research trend in the field of multimedia database retrieval. We present the Region Frequency and Inverse Picture Frequency (RF/sup */IPF) weighting, a measure developed to unify region-based multimedia retrieval systems with text-based information retrieval systems. The weighting measure gives the highest weight to regions that occur often in a small number of images in the database. These regions are considered discriminators. With this weighting measure, we can blend image retrieval techniques with TF/sup */IDF-based text retrieval techniques for large-scale Web applications. The RF/sup */IPF weighting has been implemented as a part of our experimental SIMPLIcity image retrieval system and tested on a database of about 200000 general-purpose images. Experiments have shown that this technique is effective in discriminating images of different semantics. Additionally, the overall similarity approach enables a simple querying interface for multimedia information retrieval systems.
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