• DocumentCode
    2477372
  • Title

    Human-centered implicit tagging: Overview and perspectives

  • Author

    Soleymani, Mohammad ; Pantic, Maja

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    3304
  • Lastpage
    3309
  • 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.
  • Keywords
    content-based retrieval; identification technology; meta data; multimedia systems; user interfaces; content-based tags; human-centered implicit tagging; meta data; multimedia content browsing; non-verbal behavioral reactions; user-generated explicit tags; Databases; Electroencephalography; Emotion recognition; Multimedia communication; Physiology; Streaming media; Tagging; emotion recognition; implicit tagging; multimedia indexing; tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6378301
  • Filename
    6378301