公开(公告)号：US20150178321A1

公开(公告)日：2015-06-25

申请号：US13796936

申请日：2013-03-12

Applicant: Google Inc.

Inventor： Ehud Rivlin ,  Maks Ovsjanikov

IPC: G06F17/30

CPC classification number: G06F16/532 ,  G06F16/56 ,  G06F16/583

Abstract: A query may be associated with 3D models based on the relevancy of each 3D model to the query. For a given query, a set of views are selected from a 3D model. Relevance scores are assigned to the views based on image features that are shared with popular on-line images that are accessed based on the query. The relevance scores of the views are aggregated to provide the 3D model with a relevance score. In response to a user search for a 3D model, the model having the highest relevance score for a query that matches the search is selected and returned to the user. The 3D model may be displayed with the 2D view that has the highest relevance score. In some cases, a set of 3D models having the highest relevance scores is returned to the user such that the user may select an appropriate 3D model.

Abstract translation: 基于每个3D模型与查询的相关性，查询可以与3D模型相关联。 对于给定的查询，从3D模型中选择一组视图。 基于与基于查询访问的流行在线图像共享的图像特征，将相关性分数分配给视图。 视图的相关性分数被聚合，以向3D模型提供相关性分数。 响应于用户搜索3D模型，选择与搜索匹配的查询具有最高相关性得分的模型并返回给用户。 3D模型可能与具有最高相关性得分的2D视图一起显示。 在一些情况下，具有最高相关性分数的一组3D模型被返回给用户，使得用户可以选择适当的3D模型。

公开(公告)号：US09171018B2

公开(公告)日：2015-10-27

申请号：US13742791

申请日：2013-01-16

Applicant: Google Inc.

Inventor： Maks Ovsjanikov ,  Yuan Li ,  Hartwig Adam ,  Charles Joseph Rosenberg

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30542 ,  G06F17/30867

Abstract: A system and computer-implemented method for associating images with semantic entities and providing search results using the semantic entities. An image database contains one or more source images associated with one or more images labels. A computer may generate one or more documents containing the labels associated with each image. Analysis may be performed on the one or more documents to associate the source images with semantic entities. The semantic entities may be used to provide search results. In response to receiving a target image as a search query, the target image may be compared with the source images to identify similar images. The semantic entities associated with the similar images may be used to determine a semantic entity for the target image. The semantic entity for the target image may be used to provide search results in response to the search initiated by the target image.

Abstract translation: 一种用于将图像与语义实体相关联并使用语义实体提供搜索结果的系统和计算机实现的方法。 图像数据库包含与一个或多个图像标签相关联的一个或多个源图像。 计算机可以生成包含与每个图像相关联的标签的一个或多个文档。 可以对一个或多个文档执行分析，以将源图像与语义实体相关联。 语义实体可以用于提供搜索结果。 响应于接收目标图像作为搜索查询，可以将目标图像与源图像进行比较以识别相似的图像。 与相似图像相关联的语义实体可以用于确定目标图像的语义实体。 用于目标图像的语义实体可以用于响应于由目标图像发起的搜索来提供搜索结果。

公开(公告)号：US09600496B1

公开(公告)日：2017-03-21

申请号：US14850275

申请日：2015-09-10

Applicant: Google Inc.

Inventor： Maks Ovsjanikov ,  Yuan Li ,  Hartwig Adam ,  Charles Joseph Rosenberg

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30542 ,  G06F17/30867

Abstract: A system and computer-implemented method for associating images with semantic entities and providing search results using the semantic entities. An image database contains one or more source images associated with one or more images labels. A computer may generate one or more documents containing the labels associated with each image. Analysis may be performed on the one or more documents to associate the source images with semantic entities. The semantic entities may be used to provide search results. In response to receiving a target image as a search query, the target image may be compared with the source images to identify similar images. The semantic entities associated with the similar images may be used to determine a semantic entity for the target image. The semantic entity for the target image may be used to provide search results in response to the search initiated by the target image.

公开(公告)号：US20150154232A1

公开(公告)日：2015-06-04

申请号：US13742791

申请日：2013-01-16

Applicant: Google Inc.

Inventor： Maks Ovsjanikov ,  Yuan Li ,  Hartwig Adam ,  Charles Joseph Rosenberg

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30542 ,  G06F17/30867

Abstract: A system and computer-implemented method for associating images with semantic entities and providing search results using the semantic entities. An image database contains one or more source images associated with one or more images labels. A computer may generate one or more documents containing the labels associated with each image. Analysis may be performed on the one or more documents to associate the source images with semantic entities. The semantic entities may be used to provide search results. In response to receiving a target image as a search query, the target image may be compared with the source images to identify similar images. The semantic entities associated with the similar images may be used to determine a semantic entity for the target image. The semantic entity for the target image may be used to provide search results in response to the search initiated by the target image.

Abstract translation: 一种用于将图像与语义实体相关联并使用语义实体提供搜索结果的系统和计算机实现的方法。 图像数据库包含与一个或多个图像标签相关联的一个或多个源图像。 计算机可以生成包含与每个图像相关联的标签的一个或多个文档。 可以对一个或多个文档执行分析，以将源图像与语义实体相关联。 语义实体可以用于提供搜索结果。 响应于接收目标图像作为搜索查询，可以将目标图像与源图像进行比较以识别相似的图像。 与相似图像相关联的语义实体可以用于确定目标图像的语义实体。 用于目标图像的语义实体可以用于响应于由目标图像发起的搜索来提供搜索结果。