Manual annotation and automatic image processing of multimodal emotional behaviors in TV interviews

Martin, J-C; Caridakis, G; Devillers, L; Karpouzis, K; Abrilian, S

dc.contributor.author	Martin, J-C	en
dc.contributor.author	Caridakis, G	en
dc.contributor.author	Devillers, L	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Abrilian, S	en
dc.date.accessioned	2014-03-01T01:24:35Z
dc.date.available	2014-03-01T01:24:35Z
dc.date.issued	2006	en
dc.identifier.issn	15715736	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17346
dc.subject	Embodied Conversational Agent	en
dc.subject	Human Computer Interface	en
dc.subject	Image Processing	en
dc.subject	Nonverbal Communication	en
dc.subject	Low Resolution	en
dc.title	Manual annotation and automatic image processing of multimodal emotional behaviors in TV interviews	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/0-387-34224-9_42	en
heal.identifier.secondary	http://dx.doi.org/10.1007/0-387-34224-9_42	en
heal.publicationDate	2006	en
heal.abstract	Designing affective Human Computer-Interfaces such as Embodied Conversational Agents requires modeling the relations between spontaneous emotions and behaviors in several modalities. There have been a lot of psychological researches on emotion and nonverbal communication. Yet, these studies were based mostly on acted basic emotions. This paper explores how manual annotation and image processing might cooperate towards the representation of spontaneous emotional behavior in low resolution videos from TV. We describe a corpus of TV interviews and the manual annotations that have been defined. We explain the image processing algorithms that have been designed for the automatic estimation of movement quantity. Finally, we explore several ways to compare the manual annotations and the cues extracted by image processing. © 2006 International Federation for Information Processing.	en
heal.journalName	IFIP International Federation for Information Processing	en
dc.identifier.doi	10.1007/0-387-34224-9_42	en
dc.identifier.volume	204	en
dc.identifier.spage	369	en
dc.identifier.epage	377	en