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    • 51. 发明申请
    • Identifying important news reports from news home pages
    • 从新闻主页识别重要的新闻报道
    • US20070143279A1
    • 2007-06-21
    • US11303443
    • 2005-12-15
    • Jinyi YaoMing LiWei-Ying MaZhiwei Li
    • Jinyi YaoMing LiWei-Ying MaZhiwei Li
    • G06F17/30
    • G06F17/30864Y10S707/99931Y10S707/99932Y10S707/99933Y10S707/99936Y10S707/99937
    • A method and system for determining the importance of news events based on news reports published by news sources on news home pages is provided. A news system identifies news home pages that contain references to news reports on detail pages. The news system calculates the importance of a news event based on the importance of news reports reporting that news event. The news system may determine the importance of a news report based on the assumption that the importance of a news report is based on the credibility of news home pages and the importance of similar news reports. The news system may recursively define the importance of a news report based on the credibility of news home pages and the similarity to other news pages and the importance of a news home page based on the importance of its news reports and similar news reports.
    • 提供了一种基于新闻源在新闻主页上发布的新闻报道来确定新闻事件重要性的方法和系统。 新闻系统识别包含对详细页面上的新闻报道的引用的新闻主页。 新闻系统基于报道新闻事件的新闻报道的重要性来计算新闻事件的重要性。 新闻系统可以基于以下假设来确定新闻报道的重要性:新闻报道的重要性是基于新闻主页的可信度和类似新闻报道的重要性。 新闻系统可以基于新闻主页的可信度和与其他新闻页面的相似性以及基于新闻报道和类似新闻报道的重要性的新闻主页的重要性递归地定义新闻报道的重要性。
    • 52. 发明授权
    • Classification of images as advertisement images or non-advertisement images of web pages
    • 将图像分类为网页的广告图像或非广告图像
    • US07840502B2
    • 2010-11-23
    • US11762553
    • 2007-06-13
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06F15/18
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。
    • 56. 发明授权
    • Identifying visual contextual synonyms
    • 识别视觉上下文同义词
    • US09082040B2
    • 2015-07-14
    • US13107717
    • 2011-05-13
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • G06F17/30G06K9/46
    • G06K9/4671G06F17/30256G06K9/4676
    • Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
    • 本文描述了用于识别视觉上下文同义词的工具和技术。 所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。 使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。 在各种实现中,使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。 在各种实现中,视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。
    • 59. 发明申请
    • IDENTIFYING VISUAL CONTEXTUAL SYNONYMS
    • 识别视觉语境同步
    • US20120290577A1
    • 2012-11-15
    • US13107717
    • 2011-05-13
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • G06F17/30
    • G06K9/4671G06F17/30256G06K9/4676
    • Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
    • 本文描述了用于识别视觉上下文同义词的工具和技术。 所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。 使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。 在各种实现中,使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。 在各种实现中,视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。