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公开(公告)号:US20240242413A1
公开(公告)日:2024-07-18
申请号:US18432623
申请日:2024-02-05
Applicant: Amazon Technologies, Inc.
Inventor: Avijit Vajpayee , Vimal Bhat , Arjun Cholkar , Louis Kirk Barker , Abhinav Jain
IPC: G06T13/40 , G06F40/20 , G06N3/08 , G06T17/00 , G06V20/40 , G06V40/16 , G06V40/20 , G09B21/00 , G10L25/63 , H04N5/272
CPC classification number: G06T13/40 , G06F40/20 , G06N3/08 , G06T17/00 , G06V20/46 , G06V40/174 , G06V40/28 , G09B21/009 , G10L25/63 , H04N5/272
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated generation and presentation of sign language avatars for video content. Example methods may include determining, by one or more computer processors coupled to memory, a first segment of video content, the first segment including a first set of frames, first audio content, and first subtitle data, where the first subtitle data comprises a first word and a second word. Methods may include determining, using a first machine learning model, a first sign gesture associated with the first word, determining first motion data associated with the first sign gesture, and determining first facial expression data. Methods may include generating an avatar configured to perform the first sign gesture using the first motion data, where a facial expression of the avatar while performing the first sign gesture is based on the first facial expression data.
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公开(公告)号:US11935170B1
公开(公告)日:2024-03-19
申请号:US17530070
申请日:2021-11-18
Applicant: Amazon Technologies, Inc.
Inventor: Abhinav Jain , Avijit Vajpayee , Vimal Bhat , Arjun Cholkar , Louis Kirk Barker
IPC: G06T13/40 , G06F40/20 , G06N3/08 , G06T17/00 , G06V20/40 , G06V40/16 , G06V40/20 , G09B21/00 , G10L25/63 , H04N5/272
CPC classification number: G06T13/40 , G06F40/20 , G06N3/08 , G06T17/00 , G06V20/46 , G06V40/174 , G06V40/28 , G09B21/009 , G10L25/63 , H04N5/272
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated generation and presentation of sign language avatars for video content. Example methods may include determining, by one or more computer processors coupled to memory, a first segment of video content, the first segment including a first set of frames, first audio content, and first subtitle data, where the first subtitle data comprises a first word and a second word. Methods may include determining, using a first machine learning model, a first sign gesture associated with the first word, determining first motion data associated with the first sign gesture, and determining first facial expression data. Methods may include generating an avatar configured to perform the first sign gesture using the first motion data, where a facial expression of the avatar while performing the first sign gesture is based on the first facial expression data.
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