Web: http://arxiv.org/abs/2209.10170

Sept. 22, 2022, 1:14 a.m. | Qinglan Wei, Xuling Huang, Yuan Zhang

cs.CV updates on arXiv.org arxiv.org

In the latest social networks, more and more people prefer to express their
emotions in videos through text, speech, and rich facial expressions.
Multimodal video emotion analysis techniques can help understand users' inner
world automatically based on human expressions and gestures in images, tones in
voices, and recognized natural language. However, in the existing research, the
acoustic modality has long been in a marginal position as compared to visual
and textual modalities. That is, it tends to be more difficult …

arxiv emotion inference multimodal video

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