首页> 外文会议>Pacific Rim Conference on Multimedia(PCM 2004) pt.1; 20041130-1203; Tokyo(JP) >Automatic Categorization for WWW Images with Applications for Retrieval Navigation
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Automatic Categorization for WWW Images with Applications for Retrieval Navigation

机译:WWW图像的自动分类及其在检索导航中的应用

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We propose a novel categorization for web images based on their image and text data, and propose new applications using this categorization. We have defined eight categories of images used in web pages, constructed a tree structure for the categorization, and applied Support Vector Machines (SVMs) to each stage of the categorization. We then conducted experiments to categorize a large number of web images, collected from the web sites of 130 listed Japanese companies, and found that they were well categorized with 90% precision. We discuss new applications using the image categories to help users navigate web pages. In addition to this, we examined a correlation with the image categories and the classification of web pages, and conducted an experiment to construct an object from web image.
机译:我们提出了一种基于Web图像的图像和文本数据的新颖分类方法,并提出了使用该分类方法的新应用程序。我们已经定义了网页中使用的八类图像,构造了用于分类的树结构,并将支持向量机(SVM)应用于分类的每个阶段。然后,我们进行了实验,对从130家日本上市公司的网站中收集到的大量网络图像进行了分类,发现它们的分类准确率高达90%。我们讨论使用图像类别的新应用程序,以帮助用户浏览网页。除此之外,我们检查了与图像类别和网页分类的相关性,并进行了从网页图像构造对象的实验。

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