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1. 发明授权

US09087297B1 Accurate video concept recognition via classifier combination 有权
标题翻译：通过分类器组合准确的视频概念识别
公开(公告)号：US09087297B1
公开(公告)日：2015-07-21
申请号：US13316337
申请日：2011-12-09
申请人： Katja Filippova , Keith B. Hall
发明人： Katja Filippova , Keith B. Hall
IPC分类号： G06N3/08 , G06N5/02 , G06F17/30
CPC分类号： G06N5/025 , G06F17/30781 , G06K9/00718 , G06K9/6227
摘要： A classifier learning module trains video classifiers associated with a stored set of concepts derived from textual metadata of a plurality of videos. Specifically, a first type of classifier (e.g., a content-based classifier) and a second type of classifier (e.g., a text-based classifier) are trained, the classifiers when applied to a video indicating a likelihood that the video represents one or more concepts corresponding to the classifier. The first type of classifier can be used to determine the training set for the second type of classifier. The learning process does not require any concepts to be known a priori, nor does it require a training set of videos having training labels manually applied by human experts. Scores from the first type of classifier are combined with scores from the second type of classifier to obtain video classification of enhanced accuracy.
摘要翻译：分类器学习模块训练与从多个视频的文本元数据导出的存储的一组概念相关联的视频分类器。具体地说，对第一类型的分类器（例如，基于内容的分类器）和第二类型的分类器（例如，基于文本的分类器）进行训练，当分类器被应用于指示视频表示一个或更多的概念对应于分类器。第一类分类器可用于确定第二类分类器的训练集。学习过程不需要先验知道任何概念，也不需要由人类专家手动应用培训标签的培训视频。来自第一类分类器的分数与来自第二类分类器的分数相结合，以获得增强精度的视频分类。

2. 发明授权

US08478699B1 Multiple correlation measures for measuring query similarity 有权
标题翻译：用于测量查询相似性的多重相关度量
公开(公告)号：US08478699B1
公开(公告)日：2013-07-02
申请号：US12770844
申请日：2010-04-30
申请人： Enrique Alfonseca , Massimiliano Ciaramita , Keith B. Hall
发明人： Enrique Alfonseca , Massimiliano Ciaramita , Keith B. Hall
IPC分类号： G06F15/18
CPC分类号： G06N5/022 , G06F17/3064 , G06F17/30864
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query suggestions from multiple correlation measures. In one aspect, a method includes receiving a first query and second queries, each of the first and second queries including one or more terms; for each second query and a linear model, receiving correlation scores measuring the correlation between the first query and the respective second query, each correlation score received from a respective correlation process, and each respective correlation process being different from the other respective correlation processes, and applying the linear model to the plurality of correlation scores to determine a combined correlation score that quantifies a combined correlation between the first query and the respective second query based on the plurality of correlation scores. The second queries are ranked in an order according to their respective combined correlations scores.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于根据多个相关度量确定查询建议。一方面，一种方法包括接收第一查询和第二查询，所述第一和第二查询中的每一个包括一个或多个项; 对于每个第二查询和线性模型，接收测量第一查询和相应第二查询之间的相关性的相关分数，从相应的相关处理接收的每个相关得分，以及各个相关处理与其它各自的相关处理不同，以及将所述线性模型应用于所述多个相关分数，以基于所述多个相关分数来确定量化所述第一查询和所述相应第二查询之间的组合相关性的组合相关分数。第二个查询根据其各自的组合相关分数按顺序排列。

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