@inproceedings{dadea434f1bc4db591bfc097dc88cd61,
title = "Enhanced visualisation of dance performance from automatically synchronised multimodal recordings",
abstract = "The Huawei/3DLife Grand Challenge Dataset provides multimodal recordings of Salsa dancing, consisting of audiovisual streams along with depth maps and inertial measurements. In this paper, we propose a system for augmented reality-based evaluations of Salsa dancer performances. An essential step for such a system is the automatic temporal synchronisation of the multiple modalities captured from different sensors, for which we propose efficient solutions. Furthermore, we contribute modules for the automatic analysis of dance performances and present an original software application, specifically designed for the evaluation scenario considered, which enables an enhanced dance visualisation experience, through the augmentation of the original media with the results of our automatic analyses.",
keywords = "Audio, Multimodal processing, Synchronisation, Video",
author = "Marc Gowing and Philip Kell and O'Connor, \{Noel E.\} and Cyril Concolato and Slim Essid and Jean Lefeuvre and Robin Tournemenne and Ebroul Izquierdo and Vlado Kitanovski and Xinyu Lin and Qianni Zhang",
year = "2011",
month = dec,
day = "29",
doi = "10.1145/2072298.2072414",
language = "English",
isbn = "9781450306164",
series = "MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops",
pages = "667--670",
booktitle = "MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops",
note = "19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 ; Conference date: 28-11-2011 Through 01-12-2011",
}