Proceedings of the 2020 International Conference on Multimodal Interaction 2020
DOI: 10.1145/3382507.3417966
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Fusical: Multimodal Fusion for Video Sentiment

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Cited by 3 publications
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“…At the same time, research is moving towards the processing of multi-modal signals [20] and fusion approaches have been experimented in use cases like speech enhancement [21], emotion recognition [22], tracking of multiple speakers [23], action recognition [24] or scene classification [25]. Because no open synchronized audio-video dataset for transport applications exists, these techniques have not been experimented for violence detection in this environment.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…At the same time, research is moving towards the processing of multi-modal signals [20] and fusion approaches have been experimented in use cases like speech enhancement [21], emotion recognition [22], tracking of multiple speakers [23], action recognition [24] or scene classification [25]. Because no open synchronized audio-video dataset for transport applications exists, these techniques have not been experimented for violence detection in this environment.…”
Section: Introduction and Related Workmentioning
confidence: 99%