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公开(公告)号:US11657850B2
公开(公告)日:2023-05-23
申请号:US17247393
申请日:2020-12-09
Applicant: Amazon Technologies, Inc.
Inventor: Ahmed Aly Saad Ahmed , Muhammad Raffay Hamid , Yongjun Wu , Yash Chaturvedi , Steven James Cox , Travis Silvers , Amit S. Jain , Amjad Y. A. Abu Jbara , Prasanth Saraswatula
IPC: G11B27/031 , G06V20/64 , G06V20/40
CPC classification number: G11B27/031 , G06V20/41 , G06V20/64
Abstract: Techniques are described for automating virtual placements in video content.
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公开(公告)号:US20230023419A1
公开(公告)日:2023-01-26
申请号:US17937323
申请日:2022-09-30
Applicant: Amazon Technologies, Inc.
Inventor: Xiaohan Nie , Muhammad Raffay Hamid
Abstract: Methods and systems are described for registering a sports field to a video. Video of a live event may feature participants at a venue. A template of the venue, including virtual markings that represent real markings on the venue, may be obtained. A homographic transformation between an image plane and a ground plane may be determined by matching virtual markings to corresponding real markings captured in at least one frame of the video. The determined homographic transformation may be used in the automated analysis of sports statistics and in improving inserted annotations and visualizations.
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公开(公告)号:US20220180898A1
公开(公告)日:2022-06-09
申请号:US17247393
申请日:2020-12-09
Applicant: Amazon Technologies, Inc.
Inventor: Ahmed Aly Saad Ahmed , Muhammad Raffay Hamid , Yongjun Wu , Yash Chaturvedi , Steven James Cox , Travis Silvers , Amit S. Jain , Amjad Y. A. Abu Jbara , Prasanth Saraswatula
IPC: G11B27/031 , G06K9/00
Abstract: Techniques are described for automating virtual placements in video content.
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公开(公告)号:US11151386B1
公开(公告)日:2021-10-19
申请号:US16809421
申请日:2020-03-04
Applicant: Amazon Technologies, Inc.
Inventor: Abhinav Aggarwal , Heena Bansal , Lokesh Amarnath Ravindranathan , Yash Pandya , Muhammad Raffay Hamid , Manivel Sethu
IPC: G06K9/00 , H04N21/44 , G06F16/78 , G06F16/75 , G06F16/783
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated identification and tagging of video content. Example methods may include determining a first set of frames in video content, determining a first set of faces that appear in the first set of frames, and extracting first image content corresponding to respective faces of the first set of faces. Methods may include classifying the first image content into a first set of clusters, generating a second set of clusters comprising a second set of faces, wherein the second set of faces has less faces than the first set of faces, and determining a first actor identifier associated with a first face in the second set of clusters. Some methods may include determining second image content in the second set of clusters comprising the first face, and automatically associating the first actor identifier with the second image content.
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