网页检索的视觉相似性比较

Y. Takama, Noriaki Mitsuhashi
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引用次数: 28

摘要

提出了一种基于视觉相似性的网页比较方法。传统的Web信息检索/收集系统,如搜索引擎,从HTML源文件中提取关键字,并以此为基础计算页面之间的相似性。提取的关键字被认为是表示Web页面内容的语义特征。另一方面,Web页面的视觉特性与语义特性同样重要,因为HTML是为使Web页面以易于理解的方式可视化而设计的。提出了一种基于图像处理和图形匹配的网页布局比较方法。实验结果表明,该方法的版面分析准确率平均为91.6%,计算的视觉相似度比基于颜色的比较方法更接近被试的视觉判断。
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Visual similarity comparison for Web page retrieval
A comparison method for Web pages in terms of visual similarity is proposed. Conventional Web information retrieval/gathering systems, such as search engines, extract keywords from HTML source files, based on which the similarity between pages is calculated. The extracted keywords are considered as semantic features representing the contents of Web pages. On the other hand, visual feature of Web pages is as important as semantic feature, because HTML is designed for visualizing a Web page in understandable manner for humans. The proposed method compares the layouts of Web pages based on image processing and graph matching. The experimental results show that the accuracy of layout analysis is 91.6% in average, and the visual similarity calculated by the proposed method is closer to the visual judgment by test subjects than color-based comparison method.
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