Implicit human-centered tagging

Vinciarelli, A. , Suditu, N. and Pantic, M. (2009) Implicit human-centered tagging. In: Multimedia and Expo, ICME 2009, IEEE International Conference on, New York City, NY, USA, June 28 2009-July 3 2009, pp. 1428-1431. (doi:10.1109/ICME.2009.5202770)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1109/ICME.2009.5202770

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A., Suditu, N., and Pantic, M.
College/School:College of Science and Engineering > School of Computing Science

University Staff: Request a correction | Enlighten Editors: Update this record