2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDIVMSP-27.2
Paper Title VIOLENCE DETECTION IN VIDEOS BASED ON FUSING VISUAL AND AUDIO INFORMATION
Authors Wenfeng Pang, Qianhua He, Yongjian Hu, Yanxiong Li, South China University of Technology, China
SessionIVMSP-27: Multi-modal Signal Processing
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Image, Video, and Multidimensional Signal Processing: [IVARS] Image & Video Analysis, Synthesis, and Retrieval
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Determining whether given video frames contain violent content is a basic problem in violence detection. Visual and audio information are useful for detecting violence included in a video, and are usually complementary; however, violence detection studies focusing on fusing visual and audio information are relatively rare. Therefore, we explored methods for fusing visual and audio information. We proposed a neural network containing three modules for fusing multimodal information: 1) attention module for utilizing weighted features to generate effective features based on the mutual guidance between visual and audio information; 2) fusion module for integrating features by fusing visual and audio information based on the bilinear pooling mechanism; and 3) mutual Learning module for enabling the model to learn visual information from another neural network with a different architecture. Experimental results indicated that the proposed neural network outperforms existing state-of-the-art methods on the XD-Violence dataset.