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公开(公告)号：US20220067994A1
公开(公告)日：2022-03-03
申请号：US17008964
申请日：2020-09-01
Applicant: Amazon Technologies, Inc.
Inventor： Assaf Neuberger , Alexander Lorbert , Arik Poznanski , Eduard Oks , Sharon Alpert , Bar Hilleli
Abstract: Devices and techniques are generally described for catalog normalization and segmentation for fashion images. First image data representing a first human wearing a first article of clothing may be received. The first image data, when rendered on a display, may include a first photometric artifact. A first generator network may be used to generate second image data from the first image data. The first photometric artifact may be removed from the second image data. A second generator network may be used to generate third image data from the second image data, the third image data representing the first human in a different pose relative to the first image data. Fourth image data representing the first article of clothing segmented from the first human may be generated and displayed on a display.
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公开(公告)号：US11587271B2
公开(公告)日：2023-02-21
申请号：US17008964
申请日：2020-09-01
Applicant: Amazon Technologies, Inc.
Inventor： Assaf Neuberger , Alexander Lorbert , Arik Poznanski , Eduard Oks , Sharon Alpert , Bar Hilleli
Abstract: First image data representing a first human wearing a first article of clothing may be received. The first image data, when rendered on a display, may include a first photometric artifact. A first generator network may be used to generate second image data from the first image data. The first photometric artifact may be removed from the second image data. A second generator network may be used to generate third image data from the second image data, the third image data representing the first human in a different pose relative to the first image data. Fourth image data representing the first article of clothing segmented from the first human may be generated and displayed on a display.
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公开(公告)号：US10554850B2
公开(公告)日：2020-02-04
申请号：US16295557
申请日：2019-03-07
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Matthew Alan Townsend , Eduard Oks , Rohith Mysore Vijaya Kumar , Apoorv Chaudhri , Yadunandana Nagaraja Rao , Ambrish Tyagi
Abstract: Devices, systems and methods are disclosed for reducing a perceived latency associated with uploading and annotating video data. For example, video data may be divided into video sections that are uploaded individually so that the video sections may be annotated as they are received. This reduces a latency associated with the annotation process, as a portion of the video data is annotated before an entirety of the video data is uploaded. In addition, the annotation data may be used to generate a master clip table and extract individual video clips from the video data.
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14.发明授权公开(公告)号：US10540757B1
公开(公告)日：2020-01-21
申请号：US15919118
申请日：2018-03-12
Applicant: Amazon Technologies, Inc.
Inventor： Moshe Bouhnik , Hilit Unger , Eduard Oks , Noam Sorek
Abstract: A computer-implemented method includes receiving first pose data for a first human represented in a first image, receiving second pose data for a second human represented in a second image, receiving first semantic segmentation data for the first image, and receiving second semantic segmentation data for the second image. A pose-aligned second image can be generated by modifying the second image based on the first pose data, the second pose data, the first semantic segmentation data, and the second semantic segmentation data. A mixed image can be determined by combining pixel values from the first image and pixel values of the pose-aligned second image according to mask data. In some embodiments, the mixed image includes a representation of an outfit that includes first clothing represented in the first image and second clothing represented in the second image.
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公开(公告)号：US20190273837A1
公开(公告)日：2019-09-05
申请号：US16295557
申请日：2019-03-07
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Matthew Alan Townsend , Eduard Oks , Rohith Mysore Vijaya Kumar , Apoorv Chaudhri , Yadunandana Nagaraja Rao , Ambrish Tyagi
IPC: H04N1/21
Abstract: Devices, systems and methods are disclosed for reducing a perceived latency associated with uploading and annotating video data. For example, video data may be divided into video sections that are uploaded individually so that the video sections may be annotated as they are received. This reduces a latency associated with the annotation process, as a portion of the video data is annotated before an entirety of the video data is uploaded. In addition, the annotation data may be used to generate a master clip table and extract individual video clips from the video data.
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Patent Agency Ranking
公开(公告)号：US09620168B1
公开(公告)日：2017-04-11
申请号：US14976192
申请日：2015-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Matthew Alan Townsend , Moshe Bouhnik , Konstantin Kraimer , Eduard Oks
IPC: H04N9/80 , G11B27/02 , G06K9/00 , G06K9/46 , G06T7/40 , G06K9/52 , G06T7/60 , H04N5/262 , G06K9/62 , G06T7/00
CPC classification number: G11B27/02 , G06K9/00268 , G06K9/00671 , G06K9/00751 , G06K9/4642 , G06K9/4652 , G06K9/52 , G06K9/6201 , G06K2009/4666 , G06T7/60 , G06T2207/30168 , H04N5/23238 , H04N5/2628
Abstract: A system and method for determining video clips including interesting content from video data. The system may receive annotation data identifying time and positions corresponding to objects represented in the video data and the system may determine priority metrics associated with each of the objects. By associating the priority metrics with the time and positions corresponding to the objects, the system may generate a priority metric map indicating a time and position of interesting moments in the video data. The system may generate moments and/or video clips based on the priority metric map. The system may determine a time (e.g., video frames) and/or space (e.g., pixel coordinates) associated with the moments/video clips and may simulate camera motion such as panning and/or zooming with the moments/video clips. The system may generate a Master Clip Table including the moments, video clips and/or annotation data associated with the moments/video clips.
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公开(公告)号：US12169859B1
公开(公告)日：2024-12-17
申请号：US17533903
申请日：2021-11-23
Applicant: Amazon Technologies, Inc.
Inventor： Alexander Lorbert , David Neiman , Arik Poznanski , Eduard Oks , Megan E Anderson , Layne Skullerud
IPC: G06Q30/00 , G06F16/9535 , G06Q30/0601
Abstract: Techniques are generally described for displaying outfit recommendations using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one fashion item. First image data depicting a second fashion item of a first item category may be received. A recurrent neural network may generate a first output feature vector based on the first state vector, the first image data, a first attribute vector, and the first item category. The first output feature vector may be compared to other feature vectors representing other fashion items in the first category to determine distances between the first output feature vector and the other feature vectors. A set of fashion items may be recommended and displayed based on the distances between the first output feature vector and the other feature vectors.
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公开(公告)号：US12056911B1
公开(公告)日：2024-08-06
申请号：US17486140
申请日：2021-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Gabi Shalev , Alexander Lorbert , David Neiman , Arik Poznanski , Eduard Oks
IPC: G06V10/40 , G06F16/2457 , G06F16/55 , G06F16/56 , G06F16/9535 , G06F18/22 , G06N3/08 , G06Q30/06 , G06V10/75
CPC classification number: G06V10/40 , G06F16/24578 , G06F16/55 , G06F16/56 , G06F16/9535 , G06F18/22 , G06N3/08 , G06Q30/06 , G06V10/751
Abstract: Techniques are generally described for performing outfit recommendation using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one fashion item. First image data depicting a second fashion item of a first item category may be received. A machine learning mode may generate a first output feature vector based on the first state vector, the first image data, a first attribute vector, and the first item category. The first output feature vector may be compared to other feature vectors representing other fashion items in the first category to determine distances between the first output feature vector and the other feature vectors. A set of fashion items may be recommended based on the distances between the first output feature vector and the other feature vectors.
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公开(公告)号：US11861944B1
公开(公告)日：2024-01-02
申请号：US16582789
申请日：2019-09-25
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Ido Yerushalmy , Ianir Ideses , Eli Alshan , Mark Kliger , Liza Potikha , Dotan Kaufman , Sharon Alpert , Eduard Oks , Noam Sorek
Abstract: Video output is generated based on first video data that depicts the user performing an activity. Poses of the user during performance of the activity are compared with second video data that depicts an instructor performing the activity. Corresponding poses of the user's body and the instructor's body may be determined through comparison of the first and second video data. The video data is used to determine the rate of motion of the user and to generate video output in which a visual representation of the instructor moves at a rate similar to the that of the user. For example, video output generated based on an instructional fitness video may be synchronized so that movement of the presented instructor matches the rate of movement of the user performing an exercise, improving user comprehension and performance.
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公开(公告)号：US11810597B2
公开(公告)日：2023-11-07
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
CPC classification number: 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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