Implicit Human-Centered Tagging

A. Vinciarelli, N. Suditu, Maja Pantic

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

11 Citations (Scopus)
23 Downloads (Pure)

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.
Original languageUndefined
Title of host publicationIEEE International Conference on Multimedia and Expo (ICME'09)
Place of PublicationLos Alamitos
PublisherIEEE Computer Society Press
Pages1428-1431
Number of pages4
ISBN (Print)978-1-4244-4291-1
DOIs
Publication statusPublished - 2009

Publication series

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

Keywords

  • 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
  • HMI-MI: MULTIMODAL INTERACTIONS
  • 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. https://doi.org/10.1109/ICME.2009.5202770
Vinciarelli, A. ; Suditu, N. ; Pantic, Maja. / Implicit Human-Centered Tagging. IEEE International Conference on Multimedia and Expo (ICME'09). Los Alamitos : IEEE Computer Society Press, 2009. pp. 1428-1431
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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.",
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publisher = "IEEE Computer Society Press",
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Vinciarelli, A, Suditu, N & Pantic, M 2009, Implicit Human-Centered Tagging. in IEEE International Conference on Multimedia and Expo (ICME'09)., 10.1109/ICME.2009.5202770, IEEE Computer Society Press, Los Alamitos, pp. 1428-1431. https://doi.org/10.1109/ICME.2009.5202770

Implicit Human-Centered Tagging. / Vinciarelli, A.; Suditu, N.; Pantic, Maja.

IEEE International Conference on Multimedia and Expo (ICME'09). Los Alamitos : IEEE Computer Society Press, 2009. p. 1428-1431 10.1109/ICME.2009.5202770.

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

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T1 - Implicit Human-Centered Tagging

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AB - 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.

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KW - EC Grant Agreement nr.: FP7/203143

KW - HMI-MI: MULTIMODAL INTERACTIONS

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