公开(公告)号：US20150143213A1

公开(公告)日：2015-05-21

申请号：US14531642

申请日：2014-11-03

Applicant: Google Inc.

Inventor： Matthew K. Gray ,  Alison Cichowlas ,  Gregory H. Plesur ,  Marcin K. Wichary ,  Thomas W. Colthurst

IPC: G06F17/22 ,  G06F17/30

CPC classification number: G06F17/2235 ,  G06F17/30861 ,  G06F17/30864 ,  G06F17/30905

Abstract: The technology described relates to animated transitions between consecutive sets of search engine results.

Abstract translation: 所描述的技术涉及连续的搜索引擎结果集之间的动画转换。

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。

公开(公告)号：US09922005B2

公开(公告)日：2018-03-20

申请号：US14531642

申请日：2014-11-03

Applicant: Google Inc.

Inventor： Matthew K. Gray ,  Alison Cichowlas ,  Gregory H. Plesur ,  Marcin K. Wichary ,  Thomas W. Colthurst

IPC: G06F17/22 ,  G06F17/30

CPC classification number: G06F17/2235 ,  G06F17/30861 ,  G06F17/30864 ,  G06F17/30905

Abstract: The technology described relates to animated transitions between consecutive sets of search engine results.

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。