@inproceedings {ism.2013-11-29.3515257247,
	title = {Efficient Implementation and Processing of a Real-Time Panorama Video Pipeline},
	journal = {IEEE International Symposium on Multimedia (ISM 2013)},
	year = {2013},
	pages = {76-83},
	publisher = {IEEE},
	type = {Conference},
	abstract = {High resolution, wide field of view video generated from multiple camera feeds has many use cases. However, processing the different steps of a panorama video pipeline in real-time is challenging due to the high data rates and the stringent requirements of timeliness. We use panorama video in a sport analysis system where video events must be generated in real-time. In this respect, we present a system for real-time panorama video generation from an array of low-cost CCD HD video cameras. We describe how we have implemented different components and evaluated alternatives. We also present performance results with and without co- processors like graphics processing units (GPUs), and we evaluate each individual component and show how the entire pipeline is able to run in real-time on commodity hardware.},
	keywords = {Conference},
	author = {Tenn{\o}e, Marius and Espen O. {Helgedagsrud} and N{\ae}ss, Mikkel and Henrik Kjus {Alstad} and H{\r a}kon Kvale {Stensland} and Vamsidhar Reddy {Gaddam} and Johansen, Dag and Griwodz, Carsten and Halvorsen, P{\r a}l}
}
