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公开(公告)号：US08503769B2
公开(公告)日：2013-08-06
申请号：US12979375
申请日：2010-12-28
申请人： Simon Baker , Dahua Lin , Anitha Kannan , Qifa Ke
发明人： Simon Baker , Dahua Lin , Anitha Kannan , Qifa Ke
CPC分类号： G06K9/00456 , G06F17/2765 , G06F17/30265
摘要： Text in web pages or other text documents may be classified based on the images or other objects within the webpage. A system for identifying and classifying text related to an object may identify one or more web pages containing the image or similar images, determine topics from the text of the document, and develop a set of training phrases for a classifier. The classifier may be trained and then used to analyze the text in the documents. The training set may include both positive examples and negative examples of text taken from the set of documents. A positive example may include captions or other elements directly associated with the object, while negative examples may include text taken from the documents, but from a large distance from the object. In some cases, the system may iterate on the classification process to refine the results.
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公开(公告)号：US20110191271A1
公开(公告)日：2011-08-04
申请号：US12699889
申请日：2010-02-04
申请人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
发明人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
CPC分类号： G06N5/04 , G06F3/04842 , G06K9/00677 , G06K9/72 , G06Q10/10
摘要： A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.
摘要翻译： 本文所述的方法包括接收数字图像，其中所述数字图像包括对应于第一域的第一元素和对应于第二域的第二元素。 该方法还包括至少部分地基于计算出的标签对应于第一元素的概率来自动地将标签分配给数字图像中的第一元素，其中通过利用被配置为推断的第一模型来计算概率 第一个域中的元素的标签以及被配置为推断第二个域中的元素的标签的第二个模型。 第一模型接收识别第一域中的元素和第二域中的元素之间的学习关系的数据，并且该概率由至少部分地基于学习关系的第一模型计算。
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公开(公告)号：US08645287B2
公开(公告)日：2014-02-04
申请号：US12699889
申请日：2010-02-04
申请人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
发明人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
IPC分类号： G06F17/00
CPC分类号： G06N5/04 , G06F3/04842 , G06K9/00677 , G06K9/72 , G06Q10/10
摘要： A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.
摘要翻译： 本文所述的方法包括接收数字图像，其中所述数字图像包括对应于第一域的第一元素和对应于第二域的第二元素。 该方法还包括至少部分地基于计算出的标签对应于第一元素的概率来自动地将标签分配给数字图像中的第一元素，其中通过利用被配置为推断的第一模型来计算概率 第一个域中的元素的标签以及被配置为推断第二个域中的元素的标签的第二个模型。 第一模型接收识别第一域中的元素和第二域中的元素之间的学习关系的数据，并且该概率由至少部分地基于学习关系的第一模型计算。
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公开(公告)号：US20120163707A1
公开(公告)日：2012-06-28
申请号：US12979375
申请日：2010-12-28
申请人： Simon BAKER , Dahua LIN , Anitha Kannan , Qifa Ke
发明人： Simon BAKER , Dahua LIN , Anitha Kannan , Qifa Ke
IPC分类号： G06K9/62
CPC分类号： G06K9/00456 , G06F17/2765 , G06F17/30265
摘要： Text in web pages or other text documents may be classified based on the images or other objects within the webpage. A system for identifying and classifying text related to an object may identify one or more web pages containing the image or similar images, determine topics from the text of the document, and develop a set of training phrases for a classifier. The classifier may be trained and then used to analyze the text in the documents. The training set may include both positive examples and negative examples of text taken from the set of documents. A positive example may include captions or other elements directly associated with the object, while negative examples may include text taken from the documents, but from a large distance from the object. In some cases, the system may iterate on the classification process to refine the results.
摘要翻译： 可以基于网页内的图像或其他对象来对网页或其他文本文档中的文本进行分类。 用于识别和分类与对象相关的文本的系统可以识别包含图像或类似图像的一个或多个网页，从文档的文本确定主题，并且为分类器开发一组训练短语。 可以对分类器进行训练，然后用于分析文档中的文本。 训练集可能包括从该组文件中获取的文本的正面例子和否定的例子。 正面例子可以包括与对象直接相关联的标题或其他元素，而负面示例可以包括从文档中取出的文本，但是距离对象很远的距离。 在某些情况下，系统可能会对分类过程进行迭代以优化结果。
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公开(公告)号：US08838432B2
公开(公告)日：2014-09-16
申请号：US13366385
申请日：2012-02-06
申请人： Simon John Baker , Juliet Anne Bernstein , Krishnan Ramnath , Anitha Kannan , Dahua Lin , Qifa Ke , Matthew Uyttendaele
发明人： Simon John Baker , Juliet Anne Bernstein , Krishnan Ramnath , Anitha Kannan , Dahua Lin , Qifa Ke , Matthew Uyttendaele
CPC分类号： G06F17/241 , G06F17/30247 , G06F17/30861
摘要： An image in a web page may be annotated after deriving information about an image when the image may be displayed on multiple web pages. The web pages that show the image may be analyzed in light of each other to determine metadata about the image, then various additional content may be added to the image. The additional content may be hyperlinks to other webpages. The additional content may be displayed as annotations on top of the images and in other manners. Many embodiments may perform searching, analysis, and classification of images prior to the web page being served.
摘要翻译： 当图像可以在多个网页上显示时，可以在导出关于图像的信息之后注释网页中的图像。 可以相互分析示出图像的网页以确定关于图像的元数据，然后可以向图像添加各种附加内容。 附加内容可能是其他网页的超链接。 附加内容可以在图像之上以其他方式显示为注释。 许多实施例可以在提供网页之前执行图像的搜索，分析和分类。
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公开(公告)号：US20130204608A1
公开(公告)日：2013-08-08
申请号：US13366385
申请日：2012-02-06
申请人： Simon John BAKER , Juliet Anne BERNSTEIN , Krishnan RAMNATH , Anitha KANNAN , Dahua LIN , Qifa KE , Matthew UYTTENDAELE
发明人： Simon John BAKER , Juliet Anne BERNSTEIN , Krishnan RAMNATH , Anitha KANNAN , Dahua LIN , Qifa KE , Matthew UYTTENDAELE
CPC分类号： G06F17/241 , G06F17/30247 , G06F17/30861
摘要： An image in a web page may be annotated after deriving information about an image when the image may be displayed on multiple web pages. The web pages that show the image may be analyzed in light of each other to determine metadata about the image, then various additional content may be added to the image. The additional content may be hyperlinks to other webpages. The additional content may be displayed as annotations on top of the images and in other manners. Many embodiments may perform searching, analysis, and classification of images prior to the web page being served.
摘要翻译： 当图像可以在多个网页上显示时，可以在导出关于图像的信息之后注释网页中的图像。 可以相互分析示出图像的网页以确定关于图像的元数据，然后可以向图像添加各种附加内容。 附加内容可能是其他网页的超链接。 附加内容可以在图像之上以其他方式显示为注释。 许多实施例可以在提供网页之前执行图像的搜索，分析和分类。
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