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公开(公告)号：US11423630B1
公开(公告)日：2022-08-23
申请号：US16454523
申请日：2019-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Brandon Michael Smith , Visesh Uday Kumar Chari , JinJin Li , Ram Sever , Prakash Ramu , Sunil Sharadchandra Hadap , Apoorv Chaudhri
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
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公开(公告)号：US20220122639A1
公开(公告)日：2022-04-21
申请号：US17492781
申请日：2021-10-04
Applicant: Amazon Technologies, Inc.
Inventor： Matthew Alan Townsend , Rohith Mysore Vijaya Kumar , Yadunandana Nagaraja Rao , Ambrish Tyagi , Eduard Oks , Apoorv Chaudhri
IPC: G11B27/031 , H04N9/79
Abstract: Devices, systems and methods are disclosed for improving story assembly and video summarization. For example, video clips may be received and a theme may be determined from the received video clips based on annotation data or other characteristics of the received video data. Individual moments may be extracted from the video clips, based on the selected theme and the annotation data. The moments may be ranked based on a priority metric corresponding to content determined to be desirable for purposes of video summarization. Select moments may be chosen based on the priority metric and a structure may be determined based on the selected theme. Finally, a video summarization may be generated using the selected theme and the structure, the video summarization including the select moments.
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公开(公告)号：US11836853B2
公开(公告)日：2023-12-05
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
CPC classification number: G06T17/00 , A61B5/4872 , G06T15/005 , G06T15/80 , G06T19/20 , G06T2210/41
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US20210343074A1
公开(公告)日：2021-11-04
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US20210097759A1
公开(公告)日：2021-04-01
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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Patent Agency Ranking
公开(公告)号：US11887252B1
公开(公告)日：2024-01-30
申请号：US17412072
申请日：2021-08-25
Applicant: Amazon Technologies, Inc.
Inventor： Siddhartha Chandra , Visesh Uday Kumar Chari , Prakash Ramu , Antonio Criminisi , F Noam Sorek , Apoorv Chaudhri
IPC: G06T15/00 , G06T17/00 , G06T19/20 , G06T15/04 , G06V40/10 , G06V40/16 , G06F18/22 , G06F18/214 , G06N3/045
CPC classification number: G06T17/00 , G06F18/214 , G06F18/22 , G06N3/045 , G06T15/04 , G06T19/20 , G06V40/103 , G06V40/168 , G06T2219/2004 , G06T2219/2012 , G06T2219/2021
Abstract: Described are systems and methods directed to generation and subsequent update of a dimensionally accurate body model of a body, such as a human body, based on two-dimensional (“2D”) images of at least a portion of that body and/or face images of a face of the body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) to produce body images that are used to generate a body model of the body of the user. Subsequently, the body model may be updated based on a face image of the face of the user, without requiring the user to provide another body image.
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公开(公告)号：US11158344B1
公开(公告)日：2021-10-26
申请号：US14870227
申请日：2015-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Matthew Alan Townsend , Rohith Mysore Vijaya Kumar , Yadunandana Nagaraja Rao , Ambrish Tyagi , Eduard Oks , Apoorv Chaudhri
IPC: G11B27/031 , H04N9/79
Abstract: Devices, systems and methods are disclosed for improving story assembly and video summarization. For example, video clips may be received and a theme may be determined from the received video clips based on annotation data or other characteristics of the received video data. Individual moments may be extracted from the video clips, based on the selected theme and the annotation data. The moments may be ranked based on a priority metric corresponding to content determined to be desirable for purposes of video summarization. Select moments may be chosen based on the priority metric and a structure may be determined based on the selected theme. Finally, a video summarization may be generated using the selected theme and the structure, the video summarization including the select moments.
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公开(公告)号：US11069131B2
公开(公告)日：2021-07-20
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US09569221B1
公开(公告)日：2017-02-14
申请号：US14500751
申请日：2014-09-29
Applicant: Amazon Technologies, Inc.
Inventor： Apoorv Chaudhri , Enrica Maria Filippi
IPC: G06F9/46 , G06F9/38 , G06F1/32 , G06T1/20 , H04N19/436
CPC classification number: G06F9/3851 , G06F1/329 , G06F1/3293 , G06F9/3867 , G06T1/20 , G06T15/005 , G06T2207/10016 , H04N19/436
Abstract: A computing platform supports stream processing pipelines, each of which comprises a sequence of stream processing tools. Upon specification of a stream processing pipeline, multiple available hardware processors are evaluated to determine which of the processor is capable of executing each tool of the pipeline while satisfying specified performance goals. Among these processors, a hardware processor is selected for each pipeline tool that will minimize power consumption.
Abstract translation: 一个计算平台支持流处理流水线，每个管道包括一系列流处理工具。 在规定流处理流水线时，评估多个可用的硬件处理器，以确定哪个处理器能够执行管道的每个工具，同时满足指定的性能目标。 在这些处理器中，为每个管道工具选择一个硬件处理器，这将使功耗最小化。
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公开(公告)号：US12165271B1
公开(公告)日：2024-12-10
申请号：US17820008
申请日：2022-08-16
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Brandon Michael Smith , Visesh Uday Kumar Chari , JinJin Li , Ram Sever , Prakash Ramu , Sunil Sharadchandra Hadap , Apoorv Chaudhri
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
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