Abstract
Nowadays, intelligent video surveillance has become an essential tool of the greatest importance for several security-related applications. With the growth of installed cameras and the increasing complexity of required algorithms, in-house self-contained video surveillance systems become a chimera for most institutions and (small) companies. The paradigm of Video Surveillance as a Service (VSaaS) helps distributing not only storage space in the cloud (necessary for handling large amounts of video data), but also infrastructures and computational power. This chapter will briefly introduce the motivations and the main characteristics of a VSaaS system, providing a case study where research-lab computer vision algorithms are integrated in a VSaaS platform. The lessons learnt and some future directions on this topic will be also highlighted.
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Acknowledgements
The ViSERaS project was funded by Lepida SpA, Italy and was carried out in collaboration with IBM Italia, Vitrociset SPA and CSP Scarl.
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Prati, A., Vezzani, R., Fornaciari, M., Cucchiara, R. (2013). Intelligent Video Surveillance as a Service. In: Atrey, P., Kankanhalli, M., Cavallaro, A. (eds) Intelligent Multimedia Surveillance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41512-8_1
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DOI: https://doi.org/10.1007/978-3-642-41512-8_1
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