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Implicit Human Centered Tagging
Type of publication: Conference paper
Citation: Vinciarelli_IEEEICME_2009
Booktitle: Proceedings of IEEE Conference on Multimedia and Expo
Year: 2009
Abstract: This paper provides a general introduction to the concept of Implicit Human-Centered Tagging (IHCT) - the automatic extraction of tags from nonverbal behavioral feedback of media users. The main idea behind IHCT is that nonverbal behaviors displayed when interacting with multimedia data (e.g., facial expressions, head nods, etc.) provide information useful for improving the tag sets associated with the data. As such behaviors are displayed naturally and spontaneously, no effort is required from the users, and this is why the resulting tagging process is said to be “implicit”. Tags obtained through IHCT are expected to be more robust than tags associated with the data explicitly, at least in terms of: generality (they make sense to everybody) and statistical reliability (all tags will be sufficiently represented). The paper discusses these issues in detail and provides an overview of pioneering efforts in the field.
Projects EMMA
Authors Vinciarelli, Alessandro
Suditu, Nicolae
Pantic, Maja
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  • Vinciarelli_IEEEICME_2009.pdf