Abstract
We present a novel dataset for multi-view video and spatial audio. An ensemble of ten musicians from the ±«Óătv Philharmonic Orchestra performed in the orchestra's rehearsal studio in Salford, UK, on 25th March 2014. This presented a controlled environment in which to capture a dataset that could be used to simulate a large event, whilst allowing control over the conditions and performance. The dataset consists of hundreds of video and audio clips captured during 18 takes of performances, using a broad range of professional-and consumer-grade equipment, up to 4K video and high-end spatial microphones.
In addition to the audiovisual essence, sensor metadata has been captured, and ground truth annotations, in particular for temporal synchronization and spatial alignment, have been created. A part of the dataset has also been prepared for adaptive content streaming. The dataset is released under a Creative Commons Attribution Non-Commercial Share Alike license and hosted on a specifically adapted content management platform.
This paper was originally presented at MMSys '15: Proceedings of the 6th ACM Multimedia Systems Conference. It is freely available from the ACM website at . The paper was written in collaboration with several other authors: Werner Bailer (Joanneum Research), Rik Bauwens (VRT), Reinhard Grandl (bitmovin), Mike Matton (VRT), Marcus Thaler (Joanneum Research).
The research leading to these results received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 610370, ICoSOLE (“Immersive Coverage of Spatially Outspread Live Events”, ).
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