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    • 81. 发明申请
    • METHOD AND SYSTEM FOR CLASSIFYING DISPLAY PAGES USING SUMMARIES
    • 使用概要分类显示页的方法和系统
    • US20090119284A1
    • 2009-05-07
    • US12145222
    • 2008-06-24
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • G06F7/06G06F17/30
    • G06F16/345G06F16/951
    • A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
    • 一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。 网页分类系统使用网页摘要系统来生成网页摘要。 网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。 总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。 一旦生成摘要,分类系统可以将常规分类技术应用于摘要以对网页进行分类。 分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。
    • 84. 发明申请
    • Estimating Word Correlations from Images
    • 估计图像中的词相关性
    • US20090074306A1
    • 2009-03-19
    • US11956333
    • 2007-12-13
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • G06K9/72
    • G06F17/30247G06F17/30731
    • Word correlations are estimated using a content-based method, which uses visual features of image representations of the words. The image representations of the subject words may be generated by retrieving images from data sources (such as the Internet) using image search with the subject words as query words. One aspect of the techniques is based on calculating the visual distance or visual similarity between the sets of retrieved images corresponding to each query word. The other is based on calculating the visual consistence among the set of the retrieved images corresponding to a conjunctive query word. The combination of the content-based method and a text-based method may produce even better result.
    • 使用基于内容的方法来估计词相关性,其使用词的图像表示的视觉特征。 可以通过使用将主题词作为查询词的图像搜索从数据源(例如因特网)检索图像来生成主题词的图像表示。 该技术的一个方面是基于计算对应于每个查询词的检索图像组之间的视觉距离或视觉相似度。 另一个是基于计算与连接查询词对应的检索到的图像的集合之间的视觉一致性。 基于内容的方法和基于文本的方法的组合可以产生更好的结果。
    • 89. 发明授权
    • Method and system for identifying image relatedness using link and page layout analysis
    • 使用链接和页面布局分析识别图像相关性的方法和系统
    • US07293007B2
    • 2007-11-06
    • US10834483
    • 2004-04-29
    • Wei-Ying MaJi-Rong WenXiaofei HeDeng Cai
    • Wei-Ying MaJi-Rong WenXiaofei HeDeng Cai
    • G06F7/00
    • G06F17/30864Y10S707/99931
    • A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.
    • 一种基于链接和页面布局分析来确定页面图像相关性的方法和系统。 链接分析系统通过首先识别网页内的块,然后分析块对网页,网页到块和图像到块的重要性来确定图像之间的相关性。 基于该分析,链路分析系统确定每个图像与彼此图像相关的程度。 链接分析系统还可以使用图像的相关性来生成图像的排序。 链接分析系统还可以基于它们的相关性生成图像的矢量表示,并将聚类算法应用于矢量表示以识别相关图像的簇。