Automatic annotation of head velocity and acceleration in Anvil

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Automatic annotation of head velocity and acceleration in Anvil. / Jongejan, Bart.

Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). European Language Resources Association, 2012. s. 201-208.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Jongejan, B 2012, Automatic annotation of head velocity and acceleration in Anvil. i Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). European Language Resources Association, s. 201-208, Istanbul, Tyrkiet, 23/05/2012.

APA

Jongejan, B. (2012). Automatic annotation of head velocity and acceleration in Anvil. I Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12) (s. 201-208). European Language Resources Association.

Vancouver

Jongejan B. Automatic annotation of head velocity and acceleration in Anvil. I Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). European Language Resources Association. 2012. s. 201-208

Author

Jongejan, Bart. / Automatic annotation of head velocity and acceleration in Anvil. Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). European Language Resources Association, 2012. s. 201-208

Bibtex

@inproceedings{18c5a45b248e4af7926f66743bbe178a,
title = "Automatic annotation of head velocity and acceleration in Anvil",
abstract = "We describe an automatic face tracker plugin for the ANVIL annotation tool. The face tracker produces data for velocity and for acceleration in two dimensions. We compare the annotations generated by the face tracking algorithm with independently made manual annotations for head movements. The annotations are a useful supplement to manual annotations and may help human annotators to quickly and reliably determine onset of head movements and to suggest which kind of head movement is taking place.",
keywords = "Faculty of Humanities, corpus, discourse annotation, Information extraction, Information retrieval , Processing, representation",
author = "Bart Jongejan",
year = "2012",
month = "5",
day = "23",
language = "English",
pages = "201--208",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)",
publisher = "European Language Resources Association",

}

RIS

TY - GEN

T1 - Automatic annotation of head velocity and acceleration in Anvil

AU - Jongejan, Bart

PY - 2012/5/23

Y1 - 2012/5/23

N2 - We describe an automatic face tracker plugin for the ANVIL annotation tool. The face tracker produces data for velocity and for acceleration in two dimensions. We compare the annotations generated by the face tracking algorithm with independently made manual annotations for head movements. The annotations are a useful supplement to manual annotations and may help human annotators to quickly and reliably determine onset of head movements and to suggest which kind of head movement is taking place.

AB - We describe an automatic face tracker plugin for the ANVIL annotation tool. The face tracker produces data for velocity and for acceleration in two dimensions. We compare the annotations generated by the face tracking algorithm with independently made manual annotations for head movements. The annotations are a useful supplement to manual annotations and may help human annotators to quickly and reliably determine onset of head movements and to suggest which kind of head movement is taking place.

KW - Faculty of Humanities

KW - corpus

KW - discourse annotation

KW - Information extraction

KW - Information retrieval

KW - Processing

KW - representation

M3 - Article in proceedings

SP - 201

EP - 208

BT - Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

PB - European Language Resources Association

ER -

ID: 45018087