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公开(公告)号:US09589208B2
公开(公告)日:2017-03-07
申请号:US14534825
申请日:2014-11-06
Applicant: Google Inc.
Inventor: Yushi Jing , Yi Liu , David Tsai
CPC classification number: G06K9/6256 , G06F17/241 , G06F17/30256 , G06K9/00664 , G06K9/6215 , G06K9/6218 , G06K9/622 , G06K9/6267 , G06N99/005
Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.
Abstract translation: 公开了用于注释图像的方法,系统和制品。 这些包括使用多个经过训练的分类器对图像进行评分,其中训练有序的分类器中的每一个对应于基于图像相似性聚集的多个图像组中的至少一个,并且其中每个图像组与一组加权标签相关联; 基于评分选择一个或多个图像组; 聚集与所选择的一个或多个图像组相关联的一组或多组加权标签; 并使用聚集的一组或多组加权标签来注释图像。
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公开(公告)号:US20150142708A1
公开(公告)日:2015-05-21
申请号:US14534825
申请日:2014-11-06
Applicant: Google Inc.
Inventor: Yushi JING , Yi Liu , David Tsai
CPC classification number: G06K9/6256 , G06F17/241 , G06F17/30256 , G06K9/00664 , G06K9/6215 , G06K9/6218 , G06K9/622 , G06K9/6267 , G06N99/005
Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.
Abstract translation: 公开了用于注释图像的方法,系统和制品。 这些包括使用多个经过训练的分类器对图像进行评分,其中训练有序的分类器中的每一个对应于基于图像相似性聚集的多个图像组中的至少一个,并且其中每个图像组与一组加权标签相关联; 基于评分选择一个或多个图像组; 聚集与所选择的一个或多个图像组相关联的一组或多组加权标签; 并使用聚集的一组或多组加权标签来注释图像。
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