MAiVAR: Multimodal Audio-Image and Video Action Recognizer

Muhammad Bilal Shaikh, Douglas Chai, Syed Mohammed Shamsul Islam, Naveed Akhtar

Abstract: Currently, action recognition is predominately performed on video data as processed by CNNs. We investigate if the representation process of CNN s 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.