Human-Centered Implicit Tagging: Overview and Perspectives

Mohammad Soleymani, Maja Pantic

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

    32 Citations (Scopus)

    Abstract

    Tags are an effective form of metadata which help users to locate and browse multimedia content of interest. Tags can be generated by users (user-generated explicit tags), automatically from the content (content-based tags), or assigned automatically based on non-verbal behavioral reactions of users to multimedia content (implicit human-centered tags). This paper discusses the definition and applications of implicit human-centered tagging. Implicit tagging is an effortless process by which content is tagged based on users' spontaneous reactions. It is a novel but growing research topic which is attracting more attention with the growing availability of built-in sensors. This paper discusses the state of the art in this novel field of research and provides an overview of publicly available relevant databases and annotation tools. We finally discuss in detail challenges and opportunities in the field.
    Original languageUndefined
    Title of host publication2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages3304-3309
    Number of pages6
    ISBN (Print)978-1-4673-1713-9
    DOIs
    Publication statusPublished - Oct 2012
    EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Seoul, Korea, Republic of
    Duration: 14 Oct 201217 Oct 2012

    Publication series

    Name
    PublisherIEEE Computer Society

    Conference

    ConferenceIEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
    Abbreviated titleSMC 2012
    CountryKorea, Republic of
    CitySeoul
    Period14/10/1217/10/12

    Keywords

    • EWI-24584
    • HMI-HF: Human Factors
    • Tagging
    • METIS-306342
    • multimedia indexing
    • IR-90517
    • Implicit Tagging
    • Emotion Recognition

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