The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 30, 2023

Filed:

Aug. 10, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Chuang Gan, Cambridge, MA (US);

Dakuo Wang, Cambridge, MA (US);

Yang Zhang, Cambridge, MA (US);

Bo Wu, Cambridge, MA (US);

Xiaoxiao Guo, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/40 (2022.01); G06N 3/08 (2023.01); G10L 25/57 (2013.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06V 20/41 (2022.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 20/46 (2022.01); G10L 25/57 (2013.01); G06V 20/44 (2022.01);
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.


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