Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance

Current Surveillance systems in enterprise facilities and public places produce massive amounts of video and audio content while operating at a 24/7 mode. Typically, video clips are stored as compressed video files corresponding to video for several hours. Due to the prohibitively high requirements of surveillance video and the need for continuous monitoring, currently closed-circuit television (CCTV) systems store video on local devices.
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