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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vinciarelli, A. Suditu, N. Pantic, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Idiap Research Institute (CH), Switzerland (Vinciarelli, A.; Suditu, N.) || Imperial College London (UK) (Pantic, M.) |
| 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. |
| Starting Page | 1428 |
| Ending Page | 1431 |
| File Size | 70222 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424442904 |
| ISSN | 19457871 |
| DOI | 10.1109/ICME.2009.5202770 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tagging Information retrieval Indexing Educational institutions Computer networks Collaboration Social network services Data mining Feedback Robustness Nonverbal Behavior Analysis Implicit Tagging |
| Content Type | Text |
| Resource Type | Article |
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