公开(公告)号：US20170061606A1

公开(公告)日：2017-03-02

申请号：US15353304

申请日：2016-11-16

Applicant: Google Inc.

Inventor： Daniel Raynaud ,  Boris Bluntschli ,  Daniel Cotting

IPC: G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/00

CPC classification number: G06K9/4604 ,  G06K9/00624 ,  G06K9/00671 ,  G06K9/6202 ,  G06K2209/25 ,  G06T7/70

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract translation: 提供了一种使用语义指标检测移动设备的位置的系统和计算机实现的方法。 该方法包括使用一个或多个处理器在一个区域处接收由移动设备捕获的多个图像。 该区域与一组候选位置相关联。 使用一个或多个处理器，检测与多个图像相关联的一个或多个特征指示符。 这些特征指标包括与该区域相关的语义特征。 将语义特征与用于候选位置集合的多个存储的位置特征进行比较。 根据比较，选择来自候选位置集合的位置以识别移动设备的估计位置。

公开(公告)号：US09524435B2

公开(公告)日：2016-12-20

申请号：US14664099

申请日：2015-03-20

Applicant: Google Inc.

Inventor： Daniel Raynaud ,  Boris Bluntschli ,  Daniel Cotting

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

CPC classification number: G06K9/4604 ,  G06K9/00624 ,  G06K9/00671 ,  G06K9/6202 ,  G06K2209/25 ,  G06T7/70

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract translation: 提供了一种使用语义指标检测移动设备的位置的系统和计算机实现的方法。 该方法包括使用一个或多个处理器在一个区域处接收由移动设备捕获的多个图像。 该区域与一组候选位置相关联。 使用一个或多个处理器，检测与多个图像相关联的一个或多个特征指示符。 这些特征指标包括与该区域相关的语义特征。 将语义特征与用于候选位置集合的多个存储的位置特征进行比较。 根据比较，选择来自候选位置集合的位置以识别移动设备的估计位置。

公开(公告)号：US20160275350A1

公开(公告)日：2016-09-22

申请号：US14664099

申请日：2015-03-20

Applicant: Google Inc.

Inventor： Daniel Raynaud ,  Boris Bluntschli ,  Daniel Cotting

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

CPC classification number: G06K9/4604 ,  G06K9/00624 ,  G06K9/00671 ,  G06K9/6202 ,  G06K2209/25 ,  G06T7/70

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract translation: 提供了一种使用语义指标检测移动设备的位置的系统和计算机实现的方法。 该方法包括使用一个或多个处理器在一个区域处接收由移动设备捕获的多个图像。 该区域与一组候选位置相关联。 使用一个或多个处理器，检测与多个图像相关联的一个或多个特征指示符。 这些特征指标包括与该区域相关的语义特征。 将语义特征与用于候选位置集合的多个存储的位置特征进行比较。 根据比较，选择来自候选位置集合的位置以识别移动设备的估计位置。

公开(公告)号：US09842272B2

公开(公告)日：2017-12-12

申请号：US15353304

申请日：2016-11-16

Applicant: Google Inc.

Inventor： Daniel Raynaud ,  Boris Bluntschli ,  Daniel Cotting

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06T7/00

CPC classification number: G06K9/4604 ,  G06K9/00624 ,  G06K9/00671 ,  G06K9/6202 ,  G06K2209/25 ,  G06T7/70

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

公开(公告)号：US09436757B1

公开(公告)日：2016-09-06

申请号：US14229790

申请日：2014-03-28

Applicant: Google Inc.

Inventor： Daniel Raynaud

IPC: G06F17/30

CPC classification number: G06F17/30713 ,  G06F17/30705 ,  G06F17/30867

Abstract: According to various aspects of the subject technology, a user's personality profile is based on a user's social actions, including uploading a photo in association with a post (e.g. check-in, comment, reshare, etc.). The post's content (e.g. photo) is attributed to one or more personality dimensions in the user's personality profile. The various personality dimensions are then displayed in a compass graph, which shows user achievement on a multi-dimensional scale. Each discreet, explicit submission alters, to some degree, one or more dimensions. The compass graph is publicly viewable, and users can see the profile change over time, as each user action updates the compass graph. The dimensions can also be altered by the number of posts, time, locations of posts, subject matter (e.g. types of posts or categories of posts), and external interaction such as social interactions (e.g. feedback on posts, or positive comments).

Abstract translation: 根据主题技术的各个方面，用户的个性简档基于用户的社交动作，包括与照片相关联地上传照片（例如，登记，评论，转贴等）。 该帖子的内容（例如照片）归因于用户个性配置文件中的一个或多个个性维度。 然后，各种个性维度显示在罗盘图中，其显示了多维尺度上的用户成就。 每个谨慎，明确的提交在一定程度上改变了一个或多个维度。 罗盘图是公开可见的，用户可以随着时间的推移看到配置文件更改，因为每个用户操作都会更新罗盘图。 这些维度也可以通过帖子数量，时间，职位位置，主题（例如帖子类型或帖子类别）以及外部互动（例如社交互动（例如对帖子的反馈或正面评论））进行更改。