Towards classification of head movements in audiovisual recordings of read news

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

Bibtex

@inproceedings{1c99e24dd86a499daf650ea2006b236c,
title = "Towards classification of head movements in audiovisual recordings of read news",
abstract = "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.",
author = "Johan Frid and Gilbert Ambrazaitis and {Svensson Lundmark}, Malin and David House",
year = "2017",
month = sep,
day = "25",
language = "English",
series = "Link{\"o}ping Electronic Conference Proceedings",
publisher = "Link{\"o}ping University Electronic Press",
pages = "4--9",
editor = "Patrizia Paggio and Costanza Navarretta",
booktitle = "Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016)",
note = "4th European and 7th Nordic Symposium on Multimodal Communication , MMSYM 2016 ; Conference date: 29-09-2016 Through 30-09-2016",
url = "http://mmsym.org/?page_id=412",

}