We address the deployment of perceptual attention to social interactions as displayed in conversational clips, when relying on multimodal information (audio and video). A probabilistic modelling framework is proposed that goes beyond the classic saliency paradigm while integrating multiple information cues. Attentional allocation is determined not just by stimulus-driven selection but, importantly, by social value as modulating the selection history of relevant multimodal items. Thus, the construction of attentional priority is the result of a sampling procedure conditioned on the potential value dynamics of socially relevant objects emerging moment to moment within the scene. Preliminary experiments on a publicly available dataset are presented.
Give Ear to My Face: Modelling Multimodal Attention to Social Interactions / Boccignone, Giuseppe; Cuculo, Vittorio; D’Amelio, Alessandro; Grossi, Giuliano; Lanzarotti, Raffaella. - 11130:(2019), pp. 331-345. (Intervento presentato al convegno 15th European Conference on Computer Vision, ECCV 2018 tenutosi a Munich, Germany nel 2018) [10.1007/978-3-030-11012-3_27].
Give Ear to My Face: Modelling Multimodal Attention to Social Interactions
Cuculo, Vittorio;
2019
Abstract
We address the deployment of perceptual attention to social interactions as displayed in conversational clips, when relying on multimodal information (audio and video). A probabilistic modelling framework is proposed that goes beyond the classic saliency paradigm while integrating multiple information cues. Attentional allocation is determined not just by stimulus-driven selection but, importantly, by social value as modulating the selection history of relevant multimodal items. Thus, the construction of attentional priority is the result of a sampling procedure conditioned on the potential value dynamics of socially relevant objects emerging moment to moment within the scene. Preliminary experiments on a publicly available dataset are presented.File | Dimensione | Formato | |
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