Invention Grant
- Patent Title: System and method for the fusion of bottom-up whole-image features and top-down enttiy classification for accurate image/video scene classification
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Application No.: US15427597Application Date: 2017-02-08
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Publication No.: US11423651B2Publication Date: 2022-08-23
- Inventor: Ryan M. Uhlenbrock , Deepak Khosla , Yang Chen , Fredy Monterroza
- Applicant: HRL Laboratories, LLC
- Applicant Address: US CA Malibu
- Assignee: HRL Laboratories, LLC
- Current Assignee: HRL Laboratories, LLC
- Current Assignee Address: US CA Malibu
- Agency: Tope-McKay & Associates
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06V10/40 ; G06V10/46 ; G06V20/00 ; G06N3/08 ; G06V10/82 ; G06V20/40 ; G06T7/10 ; G06T1/20 ; G06T1/60 ; G06N20/10

Abstract:
Described is a system and method for accurate image and/or video scene classification. More specifically, described is a system that makes use of a specialized convolutional-neural network (hereafter CNN) based technique for the fusion of bottom-up whole-image features and top-down entity classification. When the two parallel and independent processing paths are fused, the system provides an accurate classification of the scene as depicted in the image or video.
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