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MAiVAR: Multimodal Audio-Image and Video Action Recognizer

2022-09-11 03:52:27
Muhammad Bilal Shaikh, Douglas Chai, Syed Mohammed Shamsul Islam, Naveed Akhtar
arXiv_CV
           
Abstract

Currently, action recognition is predominately performed on video data as processed by CNNs. We investigate if the representation process of CNNs can also be leveraged for multimodal action recognition by incorporating image-based audio representations of actions in a task. To this end, we propose Multimodal Audio-Image and Video Action Recognizer (MAiVAR), a CNN-based audio-image to video fusion model that accounts for video and audio modalities to achieve superior action recognition performance. MAiVAR extracts meaningful image representations of audio and fuses it with video representation to achieve better performance as compared to both modalities individually on a large-scale action recognition dataset.

Abstract (translated)

URL

https://arxiv.org/abs/2209.04780

PDF

https://arxiv.org/pdf/2209.04780.pdf

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