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公开(公告)号：US12124863B2
公开(公告)日：2024-10-22
申请号：US17909894
申请日：2020-03-13
申请人： Google LLC
发明人： Benjamin Schlesinger , Noam Etzion-Rosenberg , Anatoly Efros , Morgan Venable , Gabriel Taubman , John DiMartile , Nikita Edward Dubrovsky , Sahil Goel , Hen Fitoussi , Sapir Caduri
IPC分类号： G06F9/451
CPC分类号： G06F9/451 , G06F2221/2149
摘要： Methods, systems, and apparatus for filtering content at the operating system level. In one aspect, a method includes accessing, at a user device, data that includes content items that are to be presented by an application executing on the user device; prior to the content being presented by the application: for each content item, determining, at the user device and by a filtering model, whether the content item is to be presented by the application or filtered, for each content item that is determined to be presented by the application, allowing the application to present the content item, and for each content item that is determined to be filtered, precluding, by the filtering model by a system level filtering operation performed at an operating system level and separate from an application level at which the application is executing, presentation of the content item by the application.
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公开(公告)号：US10289932B2
公开(公告)日：2019-05-14
申请号：US15664913
申请日：2017-07-31
申请人： Google LLC
发明人： Don Barnett , John DiMartile , Alison Lentz , Rachel Lara Been
IPC分类号： G06K9/62
摘要： Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
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公开(公告)号：US20230096274A1
公开(公告)日：2023-03-30
申请号：US17909894
申请日：2020-03-13
申请人： Google LLC
发明人： Benjamin Schlesinger , Noam Etzion-Rosenberg , Anatoly Efros , Morgan Venable , Gabriel Taubman , John DiMartile , Nikita Edward Dubrovsky , Sahil Goel , Hen Fitoussi , Sapir Caduri
IPC分类号： G06F9/451
摘要： Methods, systems, and apparatus for filtering content at the operating system level. In one aspect, a method includes accessing, at a user device, data that includes content items that are to be presented by an application executing on the user device; prior to the content being presented by the application: for each content item, determining, at the user device and by a filtering model, whether the content item is to be presented by the application or filtered, for each content item that is determined to be presented by the application, allowing the application to present the content item, and for each content item that is determined to be filtered, precluding, by the filtering model by a system level filtering operation performed at an operating system level and separate from an application level at which the application is executing, presentation of the content item by the application.
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公开(公告)号：US10685256B2
公开(公告)日：2020-06-16
申请号：US16387224
申请日：2019-04-17
申请人： Google LLC
发明人： Don Barnett , John DiMartile , Alison Lentz , Rachel Lara Been
摘要： Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
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公开(公告)号：US20190244057A1
公开(公告)日：2019-08-08
申请号：US16387224
申请日：2019-04-17
申请人： Google LLC
发明人： Don Barnett , John DiMartile , Alison Lentz , Rachel Lara Been
CPC分类号： G06K9/6215 , G06F16/532 , G06K9/00671 , G06K9/2081 , G06K9/3241 , G06K9/6202 , G06K2009/366
摘要： Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
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公开(公告)号：USD853410S1
公开(公告)日：2019-07-09
申请号：US29611600
申请日：2017-07-24
申请人： Google LLC
设计人： Don Barnett , John DiMartile , Alison Lentz , Rachel Lara Been
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