Dual-modality relation networks for audio-visual event localization
US11663823B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 10, 2020 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Apr 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Dual-modality relation networks for audio-visual event localization can be provided. A video feed for audio-visual event localization can be received. Based on a combination of extracted audio features and video features of the video feed, informative features and regions in the video feed can be determined by running a first neural network. Based on the informative features and regions in the video feed determined by the first neural network, relation-aware video features can be determined by running a second neural network. Based on the informative features and regions in the video feed, relation-aware audio features can be determined by running a third neural network. A dual-modality representation can be obtained based on the relation-aware video features and the relation-aware audio features by running a fourth neural network. The dual-modality representation can be input to a classifier to identity an audio-visual event in the video feed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.