Invention Grant
- Patent Title: Systems and methods for determining video feature descriptors based on convolutional neural networks
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Application No.: US14585826Application Date: 2014-12-30
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Publication No.: US09858484B2Publication Date: 2018-01-02
- Inventor: Du Le Hong Tran , Balamanohar Paluri , Lubomir Bourdev , Robert D. Fergus , Sumit Chopra
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00

Abstract:
Systems, methods, and non-transitory computer-readable media can acquire video content for which video feature descriptors are to be determined. The video content can be processed based at least in part on a convolutional neural network including a set of two-dimensional convolutional layers and a set of three-dimensional convolutional layers. One or more outputs can be generated from the convolutional neural network. A plurality of video feature descriptors for the video content can be determined based at least in part on the one or more outputs from the convolutional neural network.
Public/Granted literature
- US20160189009A1 SYSTEMS AND METHODS FOR DETERMINING VIDEO FEATURE DESCRIPTORS BASED ON CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2016-06-30
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