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公开(公告)号：US20230352055A1
公开(公告)日：2023-11-02
申请号：US17661614
申请日：2022-05-02
Applicant: ADOBE INC.
Inventor： Suryateja BV , Prateksha Udhayanan , Parth Satish Laturia , Chauhan Dev Girishchandra , Darshan Khandelwal , Stefano Petrangeli , Balaji Vasan Srinivasan
IPC: G11B27/036 , G11B27/34 , G06F40/20 , G06F40/30 , G06V10/774 , G06V10/764 , G10L13/02 , G06F16/41 , G06N5/00
CPC classification number: G11B27/036 , G11B27/34 , G06F40/20 , G06F40/30 , G06V10/774 , G06V10/764 , G10L13/02 , G06F16/41 , G06N5/003
Abstract: Systems and methods for video processing are configured. Embodiments of the present disclosure receive a procedural document comprising a plurality of instructions; extract a plurality of key concepts for an instruction of the plurality of instructions; compute an information coverage distribution for each of a plurality of candidate multi-media assets, wherein the information coverage distribution indicates whether a corresponding multi-media asset relates to each of the plurality of key concepts; select a set of multi-media assets for the instruction based on the information coverage distribution; and generate a multi-media presentation describing the procedural document by combining the set of multi-media assets based on a presentation template.
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公开(公告)号：US20230141448A1
公开(公告)日：2023-05-11
申请号：US17522790
申请日：2021-11-09
Applicant: Adobe Inc.
Inventor： Suryateja BV , Vishwa VINAY , Niyati Himanshu CHHAYA , Navita GOYAL , Elaine CHAO , Balaji Vasan SRINIVASAN , Aparna GARIMELLA
IPC: G06F40/194 , G06F16/93 , G06F16/901 , G06F40/14
CPC classification number: G06F40/194 , G06F16/93 , G06F16/9027 , G06F40/14
Abstract: Embodiments are disclosed for generating an intelligent change summary are described. In some embodiments, a method of generating an intelligent change summary includes obtaining a representation of a plurality of versions of a document, determining a distance score based on a comparison of a first of version of the document and a second version of the document, the distance score representing a magnitude of changes made from the first version of the document to the second version of the document, and generating a change summary of the document based on the distance score.
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公开(公告)号：US12027184B2
公开(公告)日：2024-07-02
申请号：US17661614
申请日：2022-05-02
Applicant: ADOBE INC.
Inventor： Suryateja BV , Prateksha Udhayanan , Parth Satish Laturia , Chauhan Dev Girishchandra , Darshan Khandelwal , Stefano Petrangeli , Balaji Vasan Srinivasan
IPC: G11B27/036 , G06F16/41 , G06F40/20 , G06F40/30 , G06N3/0464 , G06N3/0895 , G06N5/01 , G06V10/764 , G06V10/774 , G10L13/02 , G11B27/031 , G11B27/34 , H04N21/234 , H04N21/8405 , H04N21/845
CPC classification number: G11B27/036 , G06F16/41 , G06F40/20 , G06F40/30 , G06N5/01 , G06V10/764 , G06V10/774 , G10L13/02 , G11B27/34
Abstract: Systems and methods for video processing are configured. Embodiments of the present disclosure receive a procedural document comprising a plurality of instructions; extract a plurality of key concepts for an instruction of the plurality of instructions; compute an information coverage distribution for each of a plurality of candidate multi-media assets, wherein the information coverage distribution indicates whether a corresponding multi-media asset relates to each of the plurality of key concepts; select a set of multi-media assets for the instruction based on the information coverage distribution; and generate a multi-media presentation describing the procedural document by combining the set of multi-media assets based on a presentation template.
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公开(公告)号：US20230326088A1
公开(公告)日：2023-10-12
申请号：US17714812
申请日：2022-04-06
Applicant: Adobe Inc.
Inventor： Suryateja BV , Sharmila Reddy NANGI , Rushil GUPTA , Rajat JAISWAL , Nikhil KAPOOR , Kuldeep KULKARNI
CPC classification number: G06T9/002 , G06T3/4046 , G06N3/08 , G06N3/0454
Abstract: Embodiments are disclosed for user-guided variable-rate compression. A method of user-guided variable-rate compression includes receiving a request to compress an image, the request including the image, a corresponding importance data, and a target bitrate, providing the image, the corresponding importance data, and the target bitrate to a compression network, generating, by the compression network, a learned importance map and a representation of the image, and generating, by the compressing network, a compressed representation of the image based on the learned importance map and the representation of the image.
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