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公开(公告)号：US10198823B1
公开(公告)日：2019-02-05
申请号：US16110767
申请日：2018-08-23
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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公开(公告)号：US09959480B1
公开(公告)日：2018-05-01
申请号：US15611403
申请日：2017-06-01
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Qiang Liu , David Ting-Yu Wu
CPC classification number: G06K9/00369 , G06K9/38 , G06K9/42 , G06K9/469
Abstract: Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.
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公开(公告)号：US09818451B1
公开(公告)日：2017-11-14
申请号：US14976844
申请日：2015-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Ambrish Tyagi , Suresh Bholabhai Lakhani , Rohith Mysore Vijaya Kumar , Yadunandana Nagaraja Rao , Amit Kumar Agrawal
CPC classification number: G11B27/34 , G06K9/00744 , G06K9/00751 , G06K9/00758 , G06K9/00765 , G11B27/3081
Abstract: A system and method for selecting portions of video data from preview video data is provided. The system may extract image features from the preview video data and discard video frames associated with poor image quality based on the image features. The system may determine similarity scores between individual video frames and corresponding transition costs and may identify transition points in the preview video data based on the similarity scores and/or transition costs. The system may select portions of the video data for further processing based on the transition points and the image features. By selecting portions of the video data, the system may reduce a bandwidth consumption, processing burden and/or latency associated with uploading the video data or performing further processing.
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公开(公告)号：US09462230B1
公开(公告)日：2016-10-04
申请号：US14230047
申请日：2014-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Timothy Thomas Gray , Ambrish Tyagi
Abstract: A system determines if someone watching a live video feed looks or moves away from a display screen, and when their attention is back on the display, provides an accelerated recap of the content that they missed. The video component of the feed may be shown as a series of selected still images or clips from the original feed, while audio and/or text captioning is output at an accelerated rate. The rate may be adaptively adjusted to maintain a consistent speed, and superfluous content may be omitted. When the recap catches up to the live feed, output returns to regular speed.
Abstract translation: 系统确定观看实时视频馈送的人是否看起来或远离显示屏幕，并且当他们的注意力回到显示器上时，提供他们错过的内容的加速回顾。 馈送的视频分量可以被显示为来自原始馈送的一系列所选择的静止图像或剪辑，同时以加速的速率输出音频和/或文本字幕。 可以自适应地调整速率以保持一致的速度，并且可以省略多余的内容。 当回顾达到直播饲料时，输出返回正常速度。
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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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Patent Agency Ranking
公开(公告)号：US12004871B1
公开(公告)日：2024-06-11
申请号：US16985922
申请日：2020-08-05
Applicant: Amazon Technologies, Inc.
Inventor： Cyrus Fazeli , Apoorv Chaudhri , Ambrish Tyagi , Prakash Ramu , Amit Kumar Agrawal
IPC: G06T17/00 , A61B5/00 , G06N3/08 , G06N20/00 , G06T7/00 , G06T15/00 , G06T15/80 , G06T17/10 , G06T19/20
CPC classification number: A61B5/4872 , A61B5/004 , G06N3/08 , G06N20/00 , G06T7/0012 , G06T15/005 , G06T15/80 , G06T17/10 , G06T19/20 , G06T2207/20081 , G06T2207/30004 , G06T2207/30196
Abstract: Described are systems and methods directed to a body change journey that utilizes collected two-dimensional (“2D”) body images of a body of a user, generation and presentation of a personalized three-dimensional (“3D”) body model of the body of the user based on those 2D body images, the generation and presentation of different predicted personalized 3D body models of the body of the user at different body measurements (e.g., different body fat percentages, different muscle mass amounts, different body weights, etc.), and the generation of a body change journey that guides the user from their current body model to a selected target body model that is represented by a target personalized 3D body model of the body of the user.
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公开(公告)号：US20230096013A1
公开(公告)日：2023-03-30
申请号：US17489393
申请日：2021-09-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Siddharth Choudhary , Antonio Criminisi , Ganesh Subramanian Iyer , JinJin Li , Prakash Ramu , Brandon Michael Smith , Durga Venkata Kiran Yakkala
Abstract: Described are systems and methods to determine one or more body dimensions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Body dimensions include any length, circumference, etc., of any part of a body, such as shoulder circumference, chest circumference, waist circumference, hip circumference, inseam length, bicep circumference, leg circumference, etc.
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公开(公告)号：US10217195B1
公开(公告)日：2019-02-26
申请号：US15489572
申请日：2017-04-17
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Prakash Ramu , Apoorv Chaudhri , Noam Sorek , Abhishek Singh , Rohith Mysore Vijaya Kumar
Abstract: Devices and techniques are generally described for image editing. In various examples, color image data and segmentation image data may be identified. In some examples, the segmentation image data may identify a first portion of the color image data as a foreground region and a second portion of the color image data as a background region. A segmentation boundary may be identified between the foreground region and the background region. A first area of the second portion may be identified, where the first area extends from the segmentation boundary to a first area outer boundary. A second area of the second portion may be identified, where the second area extends from the first area outer boundary to a second area outer boundary. A blended and blurred representation of the first area and the second area may be generated.
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公开(公告)号：US20180174299A1
公开(公告)日：2018-06-21
申请号：US15385249
申请日：2016-12-20
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Alexander Adrian Hugh Davidson , Prakash Ramu
IPC: G06T7/11 , H04N13/02 , H04N13/00 , H04N13/04 , G06T5/50 , G06T7/90 , G06K9/46 , G06K9/62 , G06T7/194
CPC classification number: G06T7/11 , G06K9/4609 , G06K9/6202 , G06T5/50 , G06T7/194 , G06T7/90 , G06T2207/10012 , G06T2207/10024 , G06T2207/10028 , G06T2207/20132 , G06T2207/20221 , G06T2207/20224 , G06T2207/30196 , H04N13/106 , H04N13/15 , H04N13/207 , H04N13/356
Abstract: Techniques for providing an accurate auto-crop feature for images captured by an image capture device may be described herein. For example, one or more image masks for a color image captured by an image capture device may be received by a computer system. Metadata about the color image that identifies portions of the image as foreground and the color image itself may also be received by the computer system. Further, a representation of a user and a floor region associated with a user may be extracted from the color image using the one or more image masks and the metadata. A first area of the color image may be cropped with respect to the extracted representation of the user and the floor region associated with the user to generate a second area of the color image. In embodiments, a third area of the color image may be obscured based on the received metadata.
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公开(公告)号：US09965865B1
公开(公告)日：2018-05-08
申请号：US15473334
申请日：2017-03-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Prakash Ramu , Lelin Zhang , Qiang Liu , Yadunandana Nagaraja Rao , Rohith Mysore Vijaya Kumar , Weijian Wang
CPC classification number: G06T7/194 , G06K9/00201 , G06K9/00234 , G06K9/00369 , G06K9/2027 , G06K9/22 , G06K9/4652 , G06K9/6218 , G06K9/6257 , G06K9/6267 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , H04N13/204
Abstract: Devices and techniques are generally described for segmentation of image data using depth data. In various examples, color image data may be received from a digital camera. In some examples, depth image data may be received from a depth sensor. In various examples, the depth image data may be separated into a plurality of clusters of depth image data, wherein each cluster is associated with a respective range of depth values. In some further examples, a determination may be made that a first cluster of image data corresponds to an object of interest, such as a human subject, in the image data. In various examples, pixels of the first cluster may be encoded with foreground indicator data. In some further examples, segmented image data may be generated. The segmented image data may comprise pixels encoded with the foreground indicator data.
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