Manual Annotation and Automatic Image Processing of Multimodal Emotional Behaviours: Validating the Annotation of TV Interviews

10320

Authors

nan

Abstract

AbstractThere has 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 can cooperate towards the representation of spontaneous emotional behaviour 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 how image processing can be used for the validation of manual annotations.

Keywords

nan

Full Content

nan

Labeled Text

AbstractThere has 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 can cooperate towards the representation of spontaneous emotional behaviour 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 how image processing can be used for the validation of manual annotations.

Publication Details

Paper ID:
10320
Year:
2006
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan