Building the Video-Centric Infrastructure: Flexible Storage Enabling Expanded Use of Video Data

It has been traditionally thought that the information age began when automated data processing came into common usage.However, this is not true.What has been labeled the information age is more appropriately an age of data.Nowhere has the dichotomy between the generation of data and the extraction of information from that data been more acute

than in video surveillance. The deployment of video cameras has historically been limited by the number of security personnel available to observe the video feeds. Initially,this was addressed by the deployment of video management systems (VMSs), which allow a small number of individuals to monitor a large number of cameras.However, humans are still an essential part of the information extraction process.

Enter video analytics. Video surveillance analytics allow automation to do basic threat detection such as movement sensing and object recognition. This would seem to solve the problem associated with utilizing video data, yet many advanced applicationsrequiremore than simple video stream analysis. Much of the information implicit in video data is derived by comparing video streams over time. This requires that video data be stored, sometimes for protracted periods, which can be problematic for organizations’ on-premisesstorage capabilities.As video data increasingly provides insights into the health and efficacy of business processes, storage is frequently a roadblock to organizations’ analytical aspirations.

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