Implicit Human-Centered Tagging

A. Vinciarelli, N. Suditu, Maja Pantic

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    11 Citations (Scopus)
    38 Downloads (Pure)


    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.
    Original languageUndefined
    Title of host publicationIEEE International Conference on Multimedia and Expo (ICME'09)
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Number of pages4
    ISBN (Print)978-1-4244-4291-1
    Publication statusPublished - 2009

    Publication series

    PublisherIEEE Computer Society Press
    ISSN (Print)1945-788X


    • METIS-264322
    • IR-69559
    • Nonverbal Behavior Analysis
    • Implicit Tagging
    • HMI-HF: Human Factors
    • EC Grant Agreement nr.: FP7/231287
    • EC Grant Agreement nr.: FP7/203143
    • EWI-17193

    Cite this

    Vinciarelli, A., Suditu, N., & Pantic, M. (2009). Implicit Human-Centered Tagging. In IEEE International Conference on Multimedia and Expo (ICME'09) (pp. 1428-1431). [10.1109/ICME.2009.5202770] Los Alamitos: IEEE Computer Society Press.