Violence Recognition Based on Auditory-Visual Fusion of Autoencoder Mapping

Violence Recognition Based on Auditory-Visual Fusion of Autoencoder Mapping

In the process of violence recognition, accuracy is reduced due to problems related to time axis misalignment and the semantic deviation of multimedia visual auditory information. Therefore, this paper proposes a method for auditory-visual information fusion based on autoencoder mapping. First, a fe...

Full description

Bibliographic Details
Main Authors: Jiu Lou, Decheng Zuo, Zhan Zhang, Hongwei Liu
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Electronics
Subjects:
violence recognition
auditory-visual fusion
autoencoder mapping
shared semantic subspaces
CNN-LSTM
Online Access:https://www.mdpi.com/2079-9292/10/21/2654

Internet

https://www.mdpi.com/2079-9292/10/21/2654

Similar Items