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Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISBN: 978-1-4673-2892-0
pp: 991-992
Traditional video surveillance systems require infrastructures including expensive servers with capabilities to process images and store video recordings. These surveillance systems produce and need to store a huge amount of data and to execute on them specific image analysis in real-time in order to detect safety events. We propose a video surveillance system based on Cloud Computing that collects multimedia streams generated by surveillance cameras, optimizes their transmissions according to network condition and stores them in a cloud storage system in an efficient and secure way.
Cloud computing, Servers, Video surveillance, Streaming media, Cameras, Computer architecture, Buffer storage, security, video analysis, surveillance system, cloud storage
D.A. Rodriguez-Silva, L. Adkinson-Orellana, F.J. Gonz'lez-Castano, I. Armino-Franco, D. Gonz'lez-Martinez, "Video Surveillance Based on Cloud Storage", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 991-992, doi:10.1109/CLOUD.2012.44
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