PicASHOW: pictorial authority search by hyperlinks on the web
PicASHOW: pictorial authority search by hyperlinks on the web
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PicASHOW：通过网络上的超链接进行图片权威搜索
DOI：
10.1145/503104.503105
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
A. Soffer
中科院分区：
文献类型：
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作者：
R. Lempel;A. Soffer
我们描述PicASHOW，一个全自动的WWW图像检索系统，是基于几个链接结构分析算法。我们的基本前提是，当p的作者认为图像对页面的查看者有价值时，页面p显示（或链接到）图像。因此，我们扩展了一些著名的基于链接的WWW页面检索方案的上下文的图像retrieval.PicASHOW的链接结构的分析，使其能够检索相关的图像，即使当这些存储在文件中的无意义的名称。同样的分析还允许它识别图像容器和图像中心。PicASHOW不需要任何图像分析，也不需要为Web图像的预分类创建分类法。它可以由标准的WWW搜索引擎实现，在计算和存储方面具有合理的开销，并且不改变用户查询格式。因此，它可以用来轻松地添加图像检索功能的标准searchengine.Our结果表明，PicASHOW，而几乎完全依赖于链接分析，比较以及与专用的WWW图像检索系统。我们的结论是，链接分析，一个行之有效的技术，网页搜索，可以提高Web图像检索的性能，以及扩展其定义，包括检索的图像枢纽和容器。
We describe PicASHOW, a fully automated WWW image retrieval system that is based on several link-structure analyzing algorithms. Our basic premise is that a page p displays (or links to) an image when the author of p considers the image to be of value to the viewers of the page. We thus extend some well known link-based WWW page retrieval schemes to the context of image retrieval.PicASHOW's analysis of the link structure enables it to retrieve relevant images even when those are stored in files with meaningless names. The same analysis also allows it to identify image containers and image hubs. We define these as Web pages that are rich in relevant images, or from which many images are readily accessible.PicASHOW requires no image analysis whatsoever and no creation of taxonomies for preclassification of the Web's images. It can be implemented by standard WWW search engines with reasonable overhead, in terms of both computations and storage, and with no change to user query formats. It can thus be used to easily add image retrieving capabilities to standard search engines.Our results demonstrate that PicASHOW, while relying almost exclusively on link analysis, compares well with dedicated WWW image retrieval systems. We conclude that link analysis, a proven effective technique for Web page search, can improve the performance of Web image retrieval, as well as extend its definition to include the retrieval of image hubs and containers.