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公开(公告)号：US20160352828A1
公开(公告)日：2016-12-01
申请号：US15237088
申请日：2016-08-15
Applicant: Google Inc.
Inventor： Zhongli Ding , Dragan Zivkovic
CPC classification number: H04L67/1095 , G06F17/30861 , H04L43/10 , H04L63/101 , H04L67/02 , H04L67/22 , H04L67/42
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing asynchronous and synchronous links to resources. According to one example implementation, a method includes receiving a request for a resource, identifying resources to be referenced by the requested resource, and identifying one or more of the referenced resources that are associated with client-side click tracking, and one or more of the referenced resources that are associated with server-side click tracking. The method also includes providing the requested resource. The provided resource includes one or more client-side click tracking links to the referenced resources that are associated with client-side click tracking, and one or more server-side click tracking links to the referenced resources that are associated with server-side click tracking.
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公开(公告)号：US20150169930A1
公开(公告)日：2015-06-18
申请号：US13690404
申请日：2012-11-30
Applicant: Google Inc.
Inventor： Zhongli Ding , Gabriel Wolosin , John R. Zhang , Charles J. Rosenberg , Yang Song
IPC: G06K9/00
CPC classification number: G06F17/30256 , G06F17/30244
Abstract: Methods, systems and apparatus for identifying modified images based on seed images that are known to be modified images. In an aspect, a method includes accessing data identifying a set of first seed images; for each first seed image, determining a respective first set of similar images from images in an image corpus, each similar image having a visual similarity score that is a measure of visual similarity of the similar image to the first seed image based on the image content of the similar image and the first seed image that satisfies a first seed image similarity threshold; and for each similar image in each respective first set of similar images, attributing to the similar image signal data of each first seed image for which the similar image has a respective visual similarity score satisfying the first seed image similarity threshold.
Abstract translation: 用于基于已知是修改图像的种子图像识别修改图像的方法，系统和装置。 一方面，一种方法包括访问识别一组第一种子图像的数据; 对于每个第一种子图像，从图像语料库中的图像确定相应的第一组相似图像，每个相似图像具有视觉相似度得分，其是基于图像内容的类似图像与第一种子图像的视觉相似度的量度 以及满足第一种子图像相似性阈值的第一种子图像; 并且对于每个相应的第一组相似图像中的每个相似图像，归因于类似图像具有满足第一种子图像相似性阈值的相应视觉相似性得分的每个第一种子图像的相似图像信号数据。
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公开(公告)号：US09251171B2
公开(公告)日：2016-02-02
申请号：US13690404
申请日：2012-11-30
Applicant: Google Inc.
Inventor： Zhongli Ding , Gabriel Wolosin , John R. Zhang , Charles J. Rosenberg , Yang Song
CPC classification number: G06F17/30256 , G06F17/30244
Abstract: Methods, systems and apparatus for identifying modified images based on seed images that are known to be modified images. In an aspect, a method includes accessing data identifying a set of first seed images; for each first seed image, determining a respective first set of similar images from images in an image corpus, each similar image having a visual similarity score that is a measure of visual similarity of the similar image to the first seed image based on the image content of the similar image and the first seed image that satisfies a first seed image similarity threshold; and for each similar image in each respective first set of similar images, attributing to the similar image signal data of each first seed image for which the similar image has a respective visual similarity score satisfying the first seed image similarity threshold.
Abstract translation: 用于基于已知是修改图像的种子图像识别修改图像的方法，系统和装置。 一方面，一种方法包括访问识别一组第一种子图像的数据; 对于每个第一种子图像，从图像语料库中的图像确定相应的第一组相似图像，每个相似图像具有视觉相似度得分，其是基于图像内容的类似图像与第一种子图像的视觉相似度的量度 以及满足第一种子图像相似性阈值的第一种子图像; 并且对于每个相应的第一组相似图像中的每个相似图像，归因于类似图像具有满足第一种子图像相似性阈值的相应视觉相似性得分的每个第一种子图像的相似图像信号数据。
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Patent Agency Ranking
公开(公告)号：US20150161083A1
公开(公告)日：2015-06-11
申请号：US13940645
申请日：2013-07-12
Applicant: Google Inc.
Inventor： Zhongli Ding , Dragan Zivkovic
IPC: G06F17/22
CPC classification number: H04L43/10 , G06F17/3089 , H04L43/0876 , H04L67/22
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing client-side click tracking. In one aspect, a method includes receiving, by a client, a resource from one or more servers. The resource includes (i) a link, (ii) click tracking code, and (iii) local storage monitoring code. The method includes invoking, by the client, the click tracking code and the local storage monitoring code, detecting, by the invoked click tracking code, a selection of the link, and generating, by the invoked click tracking code, a representation of the selection. The method includes storing, by the invoked click tracking code, the representation of the selection in a local storage on the client, determining, by the invoked local storage monitoring code, to communicate the representation of the selection; and communicating, by the invoked local storage monitoring code, the representation of the selection to the one or more servers.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于执行客户端点击跟踪。 一方面，一种方法包括由客户端从一个或多个服务器接收资源。 资源包括（i）链接，（ii）点击跟踪代码和（iii）本地存储监控代码。 该方法包括由客户端调用点击跟踪代码和本地存储监控代码，通过调用的点击跟踪代码来检测链接的选择，以及通过调用的点击跟踪代码生成所述选择的表示 。 该方法包括通过调用的点击跟踪代码将选择的表示存储在客户端上的本地存储器中，通过调用的本地存储监视代码来确定传达选择的表示; 并且通过被调用的本地存储监视代码将所述选择的表示与所述一个或多个服务器进行通信。
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公开(公告)号：US20150261787A1
公开(公告)日：2015-09-17
申请号：US14205669
申请日：2014-03-12
Applicant: Google Inc.
Inventor： Wenze Hu , Zhongli Ding , Hartwig Adam , Randall G. Keller
CPC classification number: G06F17/30247 , G06K9/00288 , G06K9/6218 , G06K9/6255 , G06K9/6284
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting facial image search results. In one aspect, a method includes detecting, in images that are responsive to a query, faces in the images and building facial templates. The images are then clustered according to similarity measures of the facial templates. The cluster with the highest quantity is selected, and each image in the set of returned images is compared to each image in the selected cluster. The similarity of each face with the faces in the largest cluster, based on the facial templates, is determined as an inlier score for the image in which the face is depicted. The system then increases the rank of images with high inlier scores and decreases the rank of images with low inlier scores.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于调整面部图像搜索结果。 一方面，一种方法包括在响应于查询的图像中检测面部在图像中并构建面部模板。 然后根据面部模板的相似度测量对图像进行聚类。 选择具有最高数量的群集，并将所返回图像集中的每个图像与所选群集中的每个图像进行比较。 基于面部模板，每个面部与最大簇中的脸部的相似度被确定为描绘脸部的图像的入射点。 然后，系统增加具有高入射分数的图像的等级，并且降低具有低初始分数的图像的等级。
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公开(公告)号：US09712618B2
公开(公告)日：2017-07-18
申请号：US15237088
申请日：2016-08-15
Applicant: Google Inc.
Inventor： Zhongli Ding , Dragan Zivkovic
CPC classification number: H04L67/1095 , G06F17/30861 , H04L43/10 , H04L63/101 , H04L67/02 , H04L67/22 , H04L67/42
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing asynchronous and synchronous links to resources. According to one example implementation, a method includes receiving a request for a resource, identifying resources to be referenced by the requested resource, and identifying one or more of the referenced resources that are associated with client-side click tracking, and one or more of the referenced resources that are associated with server-side click tracking. The method also includes providing the requested resource. The provided resource includes one or more client-side click tracking links to the referenced resources that are associated with client-side click tracking, and one or more server-side click tracking links to the referenced resources that are associated with server-side click tracking.
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公开(公告)号：US09608892B2
公开(公告)日：2017-03-28
申请号：US13940645
申请日：2013-07-12
Applicant: Google Inc.
Inventor： Zhongli Ding , Dragan Zivkovic
CPC classification number: H04L43/10 , G06F17/3089 , H04L43/0876 , H04L67/22
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing client-side click tracking. In one aspect, a method includes receiving, by a client, a resource from one or more servers. The resource includes (i) a link, (ii) click tracking code, and (iii) local storage monitoring code. The method includes invoking, by the client, the click tracking code and the local storage monitoring code, detecting, by the invoked click tracking code, a selection of the link, and generating, by the invoked click tracking code, a representation of the selection. The method includes storing, by the invoked click tracking code, the representation of the selection in a local storage on the client, determining, by the invoked local storage monitoring code, to communicate the representation of the selection; and communicating, by the invoked local storage monitoring code, the representation of the selection to the one or more servers.
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公开(公告)号：US09268793B2
公开(公告)日：2016-02-23
申请号：US14205669
申请日：2014-03-12
Applicant: Google Inc.
Inventor： Wenze Hu , Zhongli Ding , Hartwig Adam , Randall G. Keller
CPC classification number: G06F17/30247 , G06K9/00288 , G06K9/6218 , G06K9/6255 , G06K9/6284
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting facial image search results. In one aspect, a method includes detecting, in images that are responsive to a query, faces in the images and building facial templates. The images are then clustered according to similarity measures of the facial templates. The cluster with the highest quantity is selected, and each image in the set of returned images is compared to each image in the selected cluster. The similarity of each face with the faces in the largest cluster, based on the facial templates, is determined as an inlier score for the image in which the face is depicted. The system then increases the rank of images with high inlier scores and decreases the rank of images with low inlier scores.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于调整面部图像搜索结果。 一方面，一种方法包括在响应于查询的图像中检测面部在图像中并构建面部模板。 然后根据面部模板的相似度测量对图像进行聚类。 选择具有最高数量的群集，并将所返回图像集中的每个图像与所选群集中的每个图像进行比较。 基于面部模板，每个面部与最大簇中的脸部的相似度被确定为描绘脸部的图像的入射点。 然后，系统增加具有高入射分数的图像的等级，并且降低具有低初始分数的图像的等级。
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