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公开(公告)号：US20250088650A1
公开(公告)日：2025-03-13
申请号：US18367377
申请日：2023-09-12
Applicant: Adobe Inc.
Inventor： Nikhil Kalra , Seoung Wug Oh , Nico Alexander Becherer , Joon-Young Lee , Jimei Yang
IPC: H04N19/436 , G11B27/031 , H04N19/119 , H04N19/136 , H04N19/172 , H04N19/85
Abstract: In one aspect, a processor determines a first set of video frames of a video based on a target video frame. The first set of video frames includes the target video frame, one or more frames of the video preceding the target video frame, and one or more frames of the video subsequent to the target video frame. The first set of video frames includes a sequence of video frames of the video. An encoder neural network executing on the processor encodes the first set of video frames of a video to generate a respective feature vector for each video frame in the first set. A decoder neural network executing on the processor decodes the feature vectors to generate a mask for the target video frame.
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公开(公告)号：US20240202239A1
公开(公告)日：2024-06-20
申请号：US18082987
申请日：2022-12-16
Applicant: Adobe Inc.
Inventor： Nikhil Kalra , Nico Alexander Becherer
IPC: G06F16/683 , G06F16/65
CPC classification number: G06F16/685 , G06F16/65
Abstract: Systems, methods, and computer storage media are disclosed for transcript aggregation. In an example implementation, an audio mix processing map is generated representing an audio signal flow defined by a multi-track sequence that mixes audio sources arranged in audio tracks into a final mix. Using the audio mix processing map, an aggregated audio track is generated that represents which of the audio sources contribute to the final mix during which ranges of time. The aggregated audio track is transformed into an aggregated transcript track by associating transcript segments from transcripts of the audio sources with corresponding ranges of the ranges of time.
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公开(公告)号：US11244204B2
公开(公告)日：2022-02-08
申请号：US16879362
申请日：2020-05-20
Applicant: Adobe Inc.
Inventor： Oliver Wang , Nico Alexander Becherer , Markus Woodson , Federico Perazzi , Nikhil Kalra
Abstract: In implementations of determining video cuts in video clips, a video cut detection system can receive a video clip that includes a sequence of digital video frames that depict one or more scenes. The video cut detection system can determine scene characteristics for the digital video frames. The video cut detection system can determine, from the scene characteristics, a probability of a video cut between two adjacent digital video frames having a boundary between the two adjacent digital video frames that is centered in the sequence of digital video frames. The video cut detection system can then compare the probability of the video cut to a cut threshold to determine whether the video cut exists between the two adjacent digital video frames.
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公开(公告)号：US20210365742A1
公开(公告)日：2021-11-25
申请号：US16879362
申请日：2020-05-20
Applicant: Adobe Inc.
Inventor： Oliver Wang , Nico Alexander Becherer , Markus Woodson , Federico Perazzi , Nikhil Kalra
Abstract: In implementations of determining video cuts in video clips, a video cut detection system can receive a video clip that includes a sequence of digital video frames that depict one or more scenes. The video cut detection system can determine scene characteristics for the digital video frames. The video cut detection system can determine, from the scene characteristics, a probability of a video cut between two adjacent digital video frames having a boundary between the two adjacent digital video frames that is centered in the sequence of digital video frames. The video cut detection system can then compare the probability of the video cut to a cut threshold to determine whether the video cut exists between the two adjacent digital video frames.
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