Invention Grant
- Patent Title: Machine-learning models for tagging video frames
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Application No.: US17171240Application Date: 2021-02-09
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Publication No.: US11625880B2Publication Date: 2023-04-11
- Inventor: Elaheh Akhoundi
- Applicant: Electronic Arts Inc.
- Applicant Address: US CA Redwood City
- Assignee: Electronic Arts Inc.
- Current Assignee: Electronic Arts Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Gray Ice Higdon
- Main IPC: G06T13/40
- IPC: G06T13/40 ; G06F17/18 ; G06N3/04

Abstract:
According to a first aspect of this specification, there is described a computer-implemented method of tagging video frames. The method comprises generating, using a frame tagging model, a tag for each of a plurality of frames of an animation sequence. The frame tagging model comprises: a first neural network portion configured to process, for each frame of the plurality of frames, a plurality of features associated with the frame and generate an encoded representation for the frame. The frame tagging model further comprises a second neural network portion configured to receive input comprising the encoded representations of each frame and generate output indicative of a tag for each of the plurality of frames.
Public/Granted literature
- US20220254083A1 Machine-learning Models for Tagging Video Frames Public/Granted day:2022-08-11
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