公开(公告)号：US09189498B1

公开(公告)日：2015-11-17

申请号：US14609961

申请日：2015-01-30

Applicant: Google Inc.

Inventor： Yushi Jing ,  Wei Cai ,  Stephen C. Holiday

IPC: G06F17/30 ,  G06K9/62

CPC classification number: G06F17/30247 ,  G06F17/30244 ,  G06F17/3028 ,  G06F17/30867 ,  G06K9/6201

Abstract: A device may be configured to identify a plurality of images that are similar to a query image; generate a plurality of sets of rankings of the identified images based on a plurality of image attributes; compare the generated plurality of sets of rankings of the identified images to a reference set of rankings of images; select, based on the comparing, a particular set of rankings; and rank a plurality of images that are associated with another query image, based on an attribute associated with the selected particular set of rankings.

公开(公告)号：US09424338B2

公开(公告)日：2016-08-23

申请号：US14264411

申请日：2014-04-29

Applicant: Google Inc.

Inventor： Yushi Jing ,  Michele Covell ,  Stephen C. Holiday

IPC: G06F17/30 ,  G06F15/16

CPC classification number: G06F17/30598 ,  G06F17/30256 ,  G06F17/3028 ,  G06F17/3053

Abstract: Aspects of the subject matter described herein relate to functions used for retrieving image results based on search queries. More specifically, image search queries can be pre-grouped or classified based on visual and semantic similarity. For example, a pairwise image similarity value for a pair of queries can be computed based on one or more of the sum of all of the overlapping the image results, the sum of the image distances between all of the pairs of images in the image results, and the rank of each of the images in the image results. The pairwise image similarity values can then be used to generate image query clusters. Each image query clusters can include a set of queries with high pairwise image similarity values. In some examples, a distance function can be determined for each image query cluster. This data can be used to provide image results.

Abstract translation: 本文描述的主题的方面涉及用于基于搜索查询来检索图像结果的功能。 更具体地，可以基于视觉和语义相似性对图像搜索查询进行预分组或分类。 例如，可以基于图像结果重叠的全部和之和中的一个或多个来计算一对查询的成对图像相似度值，图像结果中所有图像对之间的图像距离之和 ，以及图像中每个图像的等级。 然后可以使用成对图像相似度值来生成图像查询簇。 每个图像查询群集可以包括具有高成对图像相似度值的一组查询。 在一些示例中，可以为每个图像查询簇确定距离函数。 该数据可用于提供图像结果。

公开(公告)号：US09588990B1

公开(公告)日：2017-03-07

申请号：US14678507

申请日：2015-04-03

Applicant: Google Inc.

Inventor： Sergey Ioffe ,  Yushi Jing ,  Stephen C. Holiday

IPC: G06K9/00 ,  G06F17/30 ,  G06K9/62

CPC classification number: G06F17/3025 ,  G06F17/30256 ,  G06K9/00684 ,  G06K9/62 ,  G06K9/6212 ,  G06K9/6262

Abstract: Image similarity operations are performed in which a seed image is analyzed, and a set of semantic classifications are determined from analyzing the seed image. The set of semantic classifications can include multiple positive semantic classifications. A distance measure is determined that is specific to the set of semantic classifications. The seed image is compared to a collection of images using the distance measure. A set of similar images is determined from comparing the seed image to the collection of images.

Abstract translation: 执行图像相似度操作，其中分析种子图像，并且通过分析种子图像来确定一组语义分类。 语义分类集合可以包括多个正的语义分类。 确定特定于语义分类集合的距离度量。 使用距离测量将种子图像与图像的集合进行比较。 通过比较种子图像和图像的集合来确定一组相似的图像。

公开(公告)号：US20150169725A1

公开(公告)日：2015-06-18

申请号：US14264411

申请日：2014-04-29

Applicant: GOOGLE INC.

Inventor： Yushi Jing ,  Michele Covell ,  Stephen C. Holiday

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30256 ,  G06F17/3028 ,  G06F17/3053

Abstract: Aspects of the subject matter described herein relate to functions used for retrieving image results based on search queries. More specifically, image search queries can be pre-grouped or classified based on visual and semantic similarity. For example, a pairwise image similarity value for a pair of queries can be computed based on one or more of the sum of all of the overlapping the image results, the sum of the image distances between all of the pairs of images in the image results, and the rank of each of the images in the image results. The pairwise image similarity values can then be used to generate image query clusters. Each image query clusters can include a set of queries with high pairwise image similarity values. In some examples, a distance function can be determined for each image query cluster. This data can be used to provide image results.

Abstract translation: 本文描述的主题的方面涉及用于基于搜索查询来检索图像结果的功能。 更具体地，可以基于视觉和语义相似性对图像搜索查询进行预分组或分类。 例如，可以基于图像结果重叠的全部和之和中的一个或多个来计算一对查询的成对图像相似度值，图像结果中所有图像对之间的图像距离之和 ，以及图像中每个图像的等级。 然后可以使用成对图像相似度值来生成图像查询簇。 每个图像查询群集可以包括具有高成对图像相似度值的一组查询。 在一些示例中，可以为每个图像查询簇确定距离函数。 该数据可用于提供图像结果。