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公开(公告)号：US09552375B2
公开(公告)日：2017-01-24
申请号：US14136689
申请日：2013-12-20
Applicant: Google Inc.
Inventor： Wojciech Stanislaw Smietanka , Daniel Cotting , Boris Bluntschli , Nicolas Dumazet
CPC classification number: G06F17/30268
Abstract: Systems and methods for determining a geocode for an image based on user-provided search queries and corresponding user selections are provided. One example method includes determining a selection value for each of a plurality of search strings associated with an image based at least in part on user selection data. The method includes generating a textual document for the image based at least in part on the selection values. The textual document includes one or more of the plurality of search strings. The method includes identifying a plurality of geographic entities by analyzing the textual document using a textual processor. The method includes selecting one of the plurality of geographic entities as a primary geographic entity and associating, by the one or more computing devices, a geocode associated with the primary geographic entity with the image.
Abstract translation: 提供了基于用户提供的搜索查询和相应的用户选择来确定图像的地理编码的系统和方法。 一个示例性方法包括至少部分地基于用户选择数据来确定与图像相关联的多个搜索字符串中的每一个的选择值。 该方法包括至少部分地基于选择值来生成用于图像的文本文档。 文本文档包括多个搜索字符串中的一个或多个。 该方法包括通过使用文本处理器分析文本文档来识别多个地理实体。 所述方法包括将所述多个地理实体之一选择为主要地理实体，并且由所述一个或多个计算设备将与所述主地理实体相关联的地理编码与所述图像相关联。
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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
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。
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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
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.
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Patent Agency Ranking
4.发明授权Geographically locating and posing images in a large-scale image repository and processing framework 有权在大型图像存储库和处理框架中进行地理位置定位和构图公开(公告)号：US09208171B1
公开(公告)日：2015-12-08
申请号：US14018989
申请日：2013-09-05
Applicant: Google Inc.
Inventor： Daniel Cotting , Krzysztof Sikora , Roland Kehl , Boris Bluntschli , Wojciech Stanislaw Smietanka , Martin Stefcek
CPC classification number: G06F17/30244 , G06F17/30241 , G06F17/30265
Abstract: Aspects of the disclosure relate generally to systems and methods for geographically locating images. For example, images from different sources may be associated with different types of location information or simply none at all. In order to reduce inconsistency among images, location information may be gathered for an image using bitmap processing, metadata processing, and information retrieved from where the image was found. This location information can be filtered to remove less reliable or conflicting information. Images may be clustered based on their appearance on an interactive online resource that corresponds to a user-defined event, based on image similarity, and by their appearance in a user photo album. The location information of the images of a cluster is then copied to all of the other images of that cluster.
Abstract translation: 本公开的方面一般涉及用于地理位置定位图像的系统和方法。 例如，来自不同来源的图像可以与不同类型的位置信息相关联，或者根本不是关联的。 为了减少图像之间的不一致性，可以使用位图处理，元数据处理和从图像被找到的信息获取的信息来收集图像的位置信息。 可以对该位置信息进行过滤以消除不太可靠或冲突的信息。 图像可以基于它们在基于图像相似性的对应于用户定义的事件的交互式在线资源上的外观以及它们在用户相册中的外观而聚类。 然后将集群的映像的位置信息复制到该集群的所有其他映像。
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公开(公告)号：US20150178322A1
公开(公告)日：2015-06-25
申请号：US14136689
申请日：2013-12-20
Applicant: Google Inc.
Inventor： Wojciech Stanislaw Smietanka , Daniel Cotting , Boris Bluntschli , Nicolas Dumazet
IPC: G06F17/30
CPC classification number: G06F17/30268
Abstract: Systems and methods for determining a geocode for an image based on user-provided search queries and corresponding user selections are provided. One example method includes determining a selection value for each of a plurality of search strings associated with an image based at least in part on user selection data. The method includes generating a textual document for the image based at least in part on the selection values. The textual document includes one or more of the plurality of search strings. The method includes identifying a plurality of geographic entities by analyzing the textual document using a textual processor. The method includes selecting one of the plurality of geographic entities as a primary geographic entity and associating, by the one or more computing devices, a geocode associated with the primary geographic entity with the image.
Abstract translation: 提供了基于用户提供的搜索查询和相应的用户选择来确定图像的地理编码的系统和方法。 一个示例性方法包括至少部分地基于用户选择数据来确定与图像相关联的多个搜索字符串中的每一个的选择值。 该方法包括至少部分地基于选择值来生成用于图像的文本文档。 文本文档包括多个搜索字符串中的一个或多个。 该方法包括通过使用文本处理器分析文本文档来识别多个地理实体。 所述方法包括将所述多个地理实体之一选择为主要地理实体，并且由所述一个或多个计算设备将与所述主地理实体相关联的地理编码与所述图像相关联。
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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
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。
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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
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。
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公开(公告)号：US09171352B1
公开(公告)日：2015-10-27
申请号：US14560094
申请日：2014-12-04
Applicant: Google Inc.
Inventor： Daniel Paul Raynaud , Boris Bluntschli , Daniel Cotting
CPC classification number: G06T5/00 , G06K9/036 , G06K9/6218 , G06K9/6255 , G06T5/009 , G06T11/60
Abstract: Systems and methods for the processing of images are provided. In particular, a candidate image can be obtained for processing. The candidate image can have one or more associated image categorization parameters. One or more pixel groups can then be detected in the candidate image and the one or more pixel groups can be associated with semantic data. At least one reference image can then be identified based at least in part on the semantic data of the one or more pixel groups. Once the at least one reference image has been identified, a plurality of adjustment parameters can be determined. One or more pixel groups from the candidate image can then be processed to generate a processed image based at least in part on the plurality of adjustment parameters.
Abstract translation: 提供了用于处理图像的系统和方法。 特别地，可以获得用于处理的候选图像。 候选图像可以具有一个或多个相关联的图像分类参数。 然后可以在候选图像中检测一个或多个像素组，并且一个或多个像素组可以与语义数据相关联。 可以至少部分地基于一个或多个像素组的语义数据来识别至少一个参考图像。 一旦已经识别了至少一个参考图像，就可以确定多个调整参数。 然后可以处理来自候选图像的一个或多个像素组，以至少部分地基于多个调整参数来生成经处理的图像。
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