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公开(公告)号:US20170017668A1
公开(公告)日:2017-01-19
申请号:US15208345
申请日:2016-07-12
Applicant: Google Inc.
Inventor: Eric Steinlauf , Grant Dasher , Matthew K. Gray , Steven D. Baker , Namrata U. Godbole , Samer Hassan Hassan , Ionut Georgescu
IPC: G06F17/30
Abstract: Methods and systems for providing an image with an answer to a question query. A method receiving a first query that is determined to be a question query; generating a second query form the first query; causing a search of a plurality of resources of a first corpus using the second query as input, wherein the first corpus of resources are resources that include images and textual data rendered with the images; receiving data indicating a set of resources determined to be responsive to the second query; causing a search for images in the set of resources; selecting, from the set of images and based in part on the search for images in the first set of resources, an image to be provided with the answer in response to the query; and providing, by the data processing apparatus, and with the answer, the image in response to the first query.
Abstract translation: 用于向图像提供问题查询的答案的方法和系统。 接收被确定为问题查询的第一查询的方法; 从第一个查询生成第二个查询; 使用所述第二查询作为输入来搜索第一语料库的多个资源,其中所述第一资源语料库是包括用所述图像呈现的图像和文本数据的资源; 接收指示被确定为响应于所述第二查询的一组资源的数据; 导致搜索资源集中的图像; 从所述图像集合中选择并部分地基于对所述第一资源集合中的图像的搜索,响应于所述查询而提供具有所述答案的图像; 以及由所述数据处理装置提供响应于所述第一查询的所述图像。
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公开(公告)号:US20150161205A1
公开(公告)日:2015-06-11
申请号:US13755840
申请日:2013-01-31
Applicant: Google Inc.
Inventor: Nathan D. Beach , Thomas W. Colthurst , Namrata U. Godbole , Russell J. Ryan , Matthew K. Gray , Marius G. Andrei
IPC: G06F17/30
CPC classification number: G06F17/3028 , G06F17/30244 , G06F17/30247 , G06F17/30256
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying an image for an entity. In one aspect, a method includes identifying a set of resources. Each resource can include at least one image and reference at least one entity. Each image is assigned to a particular entity based on an overall entity scores for the image relative to the entities. The overall entity score for an image and an entity can specify a measure of topical relatedness between the image and the entity. For each individual entity referenced by at least one of the resources, a group of images that have been assigned to the individual entity is identified. An image evocative of each individual entity is selected from the group based on image rank scores. The image rank score for an image can be determined based on visual characteristics of the image.
Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的用于识别实体的图像的计算机程序。 一方面,一种方法包括识别一组资源。 每个资源可以包括至少一个图像和参考至少一个实体。 基于图像相对于实体的整体实体分数,将每个图像分配给特定实体。 图像和实体的整体实体得分可以指定图像和实体之间的主题相关性的度量。 对于由至少一个资源引用的每个单独实体,识别已分配给该单个实体的一组图像。 基于图像等级分数从组中选择每个单独实体的令人回味的图像。 可以基于图像的视觉特征来确定图像的图像等级分数。
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公开(公告)号:US09110943B2
公开(公告)日:2015-08-18
申请号:US13755840
申请日:2013-01-31
Applicant: Google Inc.
Inventor: Nathan D. Beach , Thomas W. Colthurst , Namrata U. Godbole , Russell J. Ryan , Matthew K. Gray , Marius G. Andrei
IPC: G06F17/30
CPC classification number: G06F17/3028 , G06F17/30244 , G06F17/30247 , G06F17/30256
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying an image for an entity. In one aspect, a method includes identifying a set of resources. Each resource can include at least one image and reference at least one entity. Each image is assigned to a particular entity based on an overall entity scores for the image relative to the entities. The overall entity score for an image and an entity can specify a measure of topical relatedness between the image and the entity. For each individual entity referenced by at least one of the resources, a group of images that have been assigned to the individual entity is identified. An image evocative of each individual entity is selected from the group based on image rank scores. The image rank score for an image can be determined based on visual characteristics of the image.
Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的用于识别实体的图像的计算机程序。 一方面,一种方法包括识别一组资源。 每个资源可以包括至少一个图像和参考至少一个实体。 基于图像相对于实体的整体实体分数,将每个图像分配给特定实体。 图像和实体的整体实体得分可以指定图像和实体之间的主题相关性的度量。 对于由至少一个资源引用的每个单独实体,识别已分配给该单个实体的一组图像。 基于图像等级分数从组中选择每个单独实体的令人回味的图像。 可以基于图像的视觉特征来确定图像的图像等级分数。
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