Classifying videos using neural networks
US10289912B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2016 |
| Grant date | May 14, 2019 |
| Priority date | — |
| Expiry date | Aug 24, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying videos using neural networks. One of the methods includes obtaining a temporal sequence of video frames, wherein the temporal sequence comprises a respective video frame from a particular video at each of a plurality time steps; for each time step of the plurality of time steps: processing the video frame at the time step using a convolutional neural network to generate features of the video frame; and processing the features of the video frame using an LSTM neural network to generate a set of label scores for the time step and classifying the video as relating to one or more of the topics represented by labels in the set of labels from the label scores for each of the plurality of time steps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.