Invention Application
- Patent Title: SYSTEMS AND METHODS FOR DETERMINING VIDEO FEATURE DESCRIPTORS BASED ON CONVOLUTIONAL NEURAL NETWORKS
- Patent Title (中): 基于连续神经网络确定视频特征描述符的系统和方法
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Application No.: US14585826Application Date: 2014-12-30
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Publication No.: US20160189009A1Publication Date: 2016-06-30
- Inventor: Du Le Hong Tran , Balamanohar Paluri , Lubomir Bourdev , Robert D. Fergus , Sumit Chopra
- Applicant: Facebook, Inc.
- Main IPC: G06K9/66
- IPC: G06K9/66 ; G06K9/52 ; 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
- US09858484B2 Systems and methods for determining video feature descriptors based on convolutional neural networks Public/Granted day:2018-01-02
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