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@INPROCEEDINGS{Vinciarelli_IEEEICME_2009,
         author = {Vinciarelli, Alessandro and Suditu, Nicolae and Pantic, Maja},
       projects = {EMMA, IM2, SSPNet},
          title = {Implicit Human Centered Tagging},
      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 {\^{a}}€{\oe}implicit{\^{a}}€. 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.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Vinciarelli_IEEEICME_2009.pdf}
}