Invention Grant
- Patent Title: Recognizing minutes-long activities in videos
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Application No.: US16827342Application Date: 2020-03-23
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Publication No.: US11443514B2Publication Date: 2022-09-13
- Inventor: Noureldien Mahmoud Elsayed Hussein , Efstratios Gavves , Arnold Wilhelmus Maria Smeulders
- Applicant: QUALCOMM Technologies, Inc.
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Technologies, Inc.
- Current Assignee: QUALCOMM Technologies, Inc.
- Current Assignee Address: US CA San Diego
- Agency: Seyfarth Shaw LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06V20/40 ; G06N3/04

Abstract:
A method for classifying subject activities in videos includes learning latent (previously generated) concepts that are analogous to nodes of a graph to be generated for an activity in a video. The method also includes receiving video segments of the video. A similarity between the video segments and the previously generated concepts is measured to obtain segment representations as a weighted set of latent concepts. The method further includes determining a relationship between the segment representations and their transitioning pattern over time to determine a reduced set of nodes and/or edges for the graph. The graph of the activity in the video represented by the video segments is generated based on the reduced set of nodes and/or edges. The nodes of the graph are represented by the latent concepts. Subject activities in the video are classified based on the graph.
Public/Granted literature
- US20200302185A1 RECOGNIZING MINUTES-LONG ACTIVITIES IN VIDEOS Public/Granted day:2020-09-24
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