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公开(公告)号:US20140233806A1
公开(公告)日:2014-08-21
申请号:US13768257
申请日:2013-02-15
Applicant: Google Inc.
Inventor: Richard Gossweiler , Gregory Sean Corrado
IPC: G01C11/04
CPC classification number: G01C11/04 , G01C3/04 , G01C5/00 , G06F1/1686 , G06F1/1694 , G06F3/017 , G06F3/0481 , G06F2203/04806 , G09G5/00 , G09G2354/00
Abstract: A method, computer readable storage device, and apparatus for determining the distance a computing device is located from a user's face. An image of an individual is obtained. A first pupil location and a second pupil location are identified based on the obtained image. A first distance between the identified first and second pupil location is determined. A second distance between the individual and the computing device is determined based on the determined first distance between the identified first and second pupil locations.
Abstract translation: 一种用于确定计算设备位于用户面部的距离的方法,计算机可读存储设备和装置。 获得个人的图像。 基于获得的图像来识别第一光瞳位置和第二瞳孔位置。 确定所识别的第一和第二光瞳位置之间的第一距离。 基于所识别的第一和第二瞳孔位置之间确定的第一距离来确定个体和计算设备之间的第二距离。
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公开(公告)号:US20140129545A1
公开(公告)日:2014-05-08
申请号:US13668187
申请日:2012-11-02
Applicant: Google Inc.
Inventor: Ullas Gargi , Richard Gossweiler
IPC: G06F17/30
CPC classification number: G06F16/9535
Abstract: A system and method is disclosed for organizing search results in response to a search query. A search query and sorting criteria are received from a web browser, the sorting criteria including a coarse level of granularity and a fine level of granularity. Results are received from a search engine based on the search query and the search results are organized based on the multiple sorting criteria. In this regard, the search results are ordered top-down from the coarse level of granularity to the fine level of a granularity. The organized search results are then provided for display to the web browser.
Abstract translation: 公开了用于响应于搜索查询来组织搜索结果的系统和方法。 从Web浏览器接收到搜索查询和排序标准,排序标准包括粗略的粒度级别和精细的粒度级别。 基于搜索查询从搜索引擎收到结果,并且基于多个排序标准来组织搜索结果。 在这方面,搜索结果是从粗细的粒度级别到粒度的精细级别自上而下排序的。 然后提供有组织的搜索结果显示给网络浏览器。
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公开(公告)号:US09141617B1
公开(公告)日:2015-09-22
申请号:US13662289
申请日:2012-10-26
Applicant: Google Inc.
Inventor: Ullas Gargi , Richard Gossweiler
CPC classification number: G06F17/30029 , G06F17/30867
Abstract: The subject matter of this specification can be implemented in, among other things, a method for refining search results. The method includes a step for receiving a request to refine search results, wherein the request identifies a first social circle to apply for refining the search results, wherein the first social circle comprises a preset group of contacts of a user within a social network service. The method also includes a step for retrieving search results based on the received request and a step for refining the retrieved search results based on the identified first social circle. The method also includes a step for providing at least a portion of the refined search results to an electronic device for display.
Abstract translation: 除了别的以外,本说明书的主题可以实现用于精炼搜索结果的方法。 该方法包括用于接收细化搜索结果的请求的步骤,其中所述请求标识第一社交圈以申请改进搜索结果,其中所述第一社交圈包括社交网络服务内的用户的预设的一组联系人。 该方法还包括基于接收到的请求来检索搜索结果的步骤,以及基于所识别的第一社交圈来完善检索的搜索结果的步骤。 该方法还包括将精细搜索结果的至少一部分提供给用于显示的电子设备的步骤。
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公开(公告)号:US09042605B2
公开(公告)日:2015-05-26
申请号:US13768257
申请日:2013-02-15
Applicant: Google Inc.
Inventor: Richard Gossweiler , Gregory Sean Corrado
CPC classification number: G01C11/04 , G01C3/04 , G01C5/00 , G06F1/1686 , G06F1/1694 , G06F3/017 , G06F3/0481 , G06F2203/04806 , G09G5/00 , G09G2354/00
Abstract: A method, computer readable storage device, and apparatus for determining the distance a computing device is located from a user's face. An image of an individual is obtained. A first pupil location and a second pupil location are identified based on the obtained image. A first distance between the identified first and second pupil location is determined. A second distance between the individual and the computing device is determined based on the determined first distance between the identified first and second pupil locations.
Abstract translation: 一种用于确定计算设备位于用户面部的距离的方法,计算机可读存储设备和装置。 获得个人的图像。 基于获得的图像来识别第一光瞳位置和第二瞳孔位置。 确定所识别的第一和第二光瞳位置之间的第一距离。 基于所识别的第一和第二瞳孔位置之间确定的第一距离来确定个体和计算设备之间的第二距离。
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