Invention Grant
- Patent Title: Method and system for video action classification by mixing 2D and 3D features
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Application No.: US15931796Application Date: 2020-05-14
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Publication No.: US11276249B2Publication Date: 2022-03-15
- Inventor: Han Na , Rei Odaira
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Terrile, Cannatti & Chambers, LLP
- Agent Michael Rocco Cannatti
- Main IPC: G06V20/00
- IPC: G06V20/00 ; G06V20/40 ; G06N3/08 ; G06K9/62

Abstract:
A method, system, and computer program product provide for video action classification by selecting a first video frame and a first plurality of video frames from a received video to process the first video frame with a 2D convolutional neural network processing pathway to extract spatial features classifying the first video frame, and to process the first plurality of video frames with a 3D convolutional neural network processing pathway to extract spatiotemporal features classifying the first plurality of video frames so that the spatial features are combined with the spatiotemporal features to generate a classification label for the video action.
Public/Granted literature
- US20210357647A1 Method and System for Video Action Classification by Mixing 2D and 3D Features Public/Granted day:2021-11-18
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