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1.发明授权Processes for generating content sharing recommendations based on image content analysis 有权基于图像内容分析生成内容共享建议的过程公开(公告)号：US09405964B1
公开(公告)日：2016-08-02
申请号：US14022070
申请日：2013-09-09
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Jonathan Edward Suchland , Ario Jafarzadeh , Scott Michael Denman , Mihir Kumar Choudhary , Daniel Hafner Cavalcanti , Joshua Jacob Slimp
IPC: G06K9/00
CPC classification number: G06K9/00288 , G06K9/00 , G06Q30/02 , G06Q50/01 , H04N1/00
Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.
Abstract translation: 公开了用于至少部分地基于内容的相关元数据（例如，内容的地理位置，内容的日期/时间，内容的主题等）来生成用于共享内容的共享建议的过程。 快速共享系统可以跟踪个人的共享历史，包括个人共享内容的人，共享内容的日期/时间，共享内容时个人的地理位置等。分享建议，指示一个或多个 至少部分地基于当前时间/日期中的一些，个人的当前位置，内容元数据，个人的共享历史，可以为个人生成更多的与个人可能希望共享内容的人。 分享建议也可能部分地基于内容相关的事件，共享内容的用户反馈数据和数字图像的图像分析等内容分析。
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公开(公告)号：US09338242B1
公开(公告)日：2016-05-10
申请号：US14021998
申请日：2013-09-09
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Jonathan Edward Suchland , Ario Jafarzadeh , Mihir Kumar Choudhary , Scott Michael Denman , Joshua Jacob Slimp , Daniel Hafner Cavalcanti
CPC classification number: H04L67/22 , G06Q10/10 , G06Q30/02 , G06Q30/0631 , G06Q50/01
Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.
Abstract translation: 公开了用于至少部分地基于内容的相关元数据（例如，内容的地理位置，内容的日期/时间，内容的主题等）来生成用于共享内容的共享建议的过程。 快速共享系统可以跟踪个人的共享历史，包括个人共享内容的人，共享内容的日期/时间，共享内容时个人的地理位置等。分享建议，指示一个或多个 至少部分地基于当前时间/日期中的一些，个人的当前位置，内容元数据，个人的共享历史，可以为个人生成更多的与个人可能希望共享内容的人。 分享建议也可能部分地基于内容相关的事件，共享内容的用户反馈数据和数字图像的图像分析等内容分析。
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公开(公告)号：US09595038B1
公开(公告)日：2017-03-14
申请号：US14715505
申请日：2015-05-18
Applicant: Amazon Technologies, Inc.
Inventor： Daniel Hafner Cavalcanti , Pragyana K. Mishra
CPC classification number: G06Q30/0185 , G06K9/00 , G06K9/18 , G06K9/3233 , G06K9/48 , G06K9/52 , G06K9/6203 , G06K2209/19 , G06T3/0006 , G06T7/0002 , G06T7/602
Abstract: Images of items may be evaluated to identify one or more attributes of the items, including points, contours or shapes corresponding to such items or their packaging, in order to determine whether such items are authentic or counterfeit. Such attributes may be compared to corresponding attributes of items that are known to be authentic. If the attributes identified in an image of an item arriving at a fulfillment center are determined to be consistent with attributes identified in an image of an authentic item, then the item arriving at the fulfillment center may be deemed authentic. If, however, the attributes identified in the image of the item arriving at the fulfillment center are not determined to be consistent with any attributes identified in images of any authentic items, then the item arriving at the fulfillment center may be deemed counterfeit.
Abstract translation: 可以评估项目的图像以识别项目的一个或多个属性，包括与这些项目或其包装相对应的点，轮廓或形状，以便确定这些项目是真实的还是假的。 可以将这样的属性与已知为可信的项目的相应属性进行比较。 如果在到达履行中心的物品的图像中识别的属性被确定为与在真实物品的图像中识别的属性一致，则到达履行中心的物品可以被认为是真实的。 然而，如果在到达履行中心的物品的图像中识别的属性未被确定为与任何真实物品的图像中识别的任何属性一致，则到达履行中心的物品可以被认为是假的。
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4.发明授权Processes for generating content sharing recommendations based on user feedback data 有权基于用户反馈数据生成内容共享建议的过程公开(公告)号：US09531823B1
公开(公告)日：2016-12-27
申请号：US14021967
申请日：2013-09-09
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Jonathan Edward Suchland , Mihir Kumar Choudhary , Joshua Jacob Slimp , Daniel Hafner Cavalcanti , Scott Michael Denman , Ario Jafarzadeh
Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.
Abstract translation: 公开了用于至少部分地基于内容的相关元数据（例如，内容的地理位置，内容的日期/时间，内容的主题等）来生成用于共享内容的共享建议的过程。 快速共享系统可以跟踪个人的共享历史，包括个人共享内容的人，共享内容的日期/时间，共享内容时个人的地理位置等。分享建议，指示一个或多个 至少部分地基于当前时间/日期中的一些，个人的当前位置，内容元数据，个人的共享历史，可以为个人生成更多的与个人可能希望共享内容的人。 分享建议也可能部分地基于内容相关的事件，共享内容的用户反馈数据和数字图像的图像分析等内容分析。
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