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Enhanced visualisation of dance performance from automatically synchronised multimodal recordings

Gowing, Marc and Kelly, Philip and O'Connor, Noel E. (2011) Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. In: ACM Multimedia 2011, 28 Nov - 1 Dec. 2011, Scottsdale, AZ..

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Audio; video; synchronisation; multimodal processing
Subjects:Engineering > Systems engineering
Engineering > Signal processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16579
Deposited On:06 Dec 2011 16:13 by Philip Kelly. Last Modified 06 Dec 2011 16:13

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