Towards classification of head movements in audiovisual recordings of read news

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

Towards classification of head movements in audiovisual recordings of read news. / Frid, Johan; Ambrazaitis, Gilbert; Svensson Lundmark, Malin; House, David.

Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016). ed. / Patrizia Paggio; Costanza Navarretta. Linköping University Electronic Press, 2017. p. 4-9 002 (Linköping Electronic Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Frid, J, Ambrazaitis, G, Svensson Lundmark, M & House, D 2017, Towards classification of head movements in audiovisual recordings of read news. in P Paggio & C Navarretta (eds), Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016)., 002, Linköping Electronic Conference Proceedings, Linköping University Electronic Press, pp. 4-9, 4th European and 7th Nordic Symposium on Multimodal Communication , Copenhagen, Denmark, 2016/09/29. <http://www.ep.liu.se/ecp/141/002/ecp17141002.pdf>

APA

Frid, J., Ambrazaitis, G., Svensson Lundmark, M., & House, D. (2017). Towards classification of head movements in audiovisual recordings of read news. In P. Paggio, & C. Navarretta (Eds.), Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016) (pp. 4-9). [002] (Linköping Electronic Conference Proceedings). Linköping University Electronic Press. http://www.ep.liu.se/ecp/141/002/ecp17141002.pdf

CBE

Frid J, Ambrazaitis G, Svensson Lundmark M, House D. 2017. Towards classification of head movements in audiovisual recordings of read news. Paggio P, Navarretta C, editors. In Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016). Linköping University Electronic Press. pp. 4-9. (Linköping Electronic Conference Proceedings).

MLA

Frid, Johan et al. "Towards classification of head movements in audiovisual recordings of read news". and Paggio, Patrizia Navarretta, Costanza (editors). Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016). Linköping Electronic Conference Proceedings. Linköping University Electronic Press. 2017, 4-9.

Vancouver

Frid J, Ambrazaitis G, Svensson Lundmark M, House D. Towards classification of head movements in audiovisual recordings of read news. In Paggio P, Navarretta C, editors, Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016). Linköping University Electronic Press. 2017. p. 4-9. 002. (Linköping Electronic Conference Proceedings).

Author

Frid, Johan ; Ambrazaitis, Gilbert ; Svensson Lundmark, Malin ; House, David. / Towards classification of head movements in audiovisual recordings of read news. Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016). editor / Patrizia Paggio ; Costanza Navarretta. Linköping University Electronic Press, 2017. pp. 4-9 (Linköping Electronic Conference Proceedings).

RIS

TY - GEN

T1 - Towards classification of head movements in audiovisual recordings of read news

AU - Frid, Johan

AU - Ambrazaitis, Gilbert

AU - Svensson Lundmark, Malin

AU - House, David

N1 - Conference code: 4

PY - 2017/9/25

Y1 - 2017/9/25

N2 - In this paper we develop a system for detection of word-related head movements in audiovisu-al recordings of read news. Our materials consist of Swedish television news broadcasts and comprise audiovisual recordings of five news readers (two female, three male). The corpus was manually labelled for head movement, applying a simplistic annotation scheme consisting of a binary decision about absence/presence of a movement in relation to a word. We use OpenCV for frontal face detection and based on this we calculate velocity and acceleration features. Then we train a machine learning system to predict absence or presence of head movement and achieve an accuracy of 0.892, which is better than the baseline. The system may thus be helpful for head movement labelling.

AB - In this paper we develop a system for detection of word-related head movements in audiovisu-al recordings of read news. Our materials consist of Swedish television news broadcasts and comprise audiovisual recordings of five news readers (two female, three male). The corpus was manually labelled for head movement, applying a simplistic annotation scheme consisting of a binary decision about absence/presence of a movement in relation to a word. We use OpenCV for frontal face detection and based on this we calculate velocity and acceleration features. Then we train a machine learning system to predict absence or presence of head movement and achieve an accuracy of 0.892, which is better than the baseline. The system may thus be helpful for head movement labelling.

UR - http://www.ep.liu.se/ecp/article.asp?issue=141&article=002&volume=

M3 - Paper in conference proceeding

T3 - Linköping Electronic Conference Proceedings

SP - 4

EP - 9

BT - Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016)

A2 - Paggio, Patrizia

A2 - Navarretta, Costanza

PB - Linköping University Electronic Press

T2 - 4th European and 7th Nordic Symposium on Multimodal Communication

Y2 - 29 September 2016 through 30 September 2016

ER -