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Video processing and storage 4
3.2 Terms defined in this Recommendation
This Recommendation defines the following term:
3.2.1 cloud storage: A data storage model for enabling service users to have ubiquitous, convenient and
on-demand network access to a shared pool of configurable storage resources, which can be rapidly
provisioned and released with minimal management effort or service-provider interaction. In cloud storage
systems, the physical and virtual resources can be dynamically assigned and reassigned according to user
demand.
4 Abbreviations and acronyms
This Recommendation uses the following abbreviations and acronyms:
AS Application System
CU Customer Unit
DVR Digital Video Recorder
IPU Intelligent Premises Unit
MCU Mobile Customer Unit
MSU Media Storage Unit
NVR Network Video Recorder
PU Premises Unit
VS Visual Surveillance
VSCS Visual Surveillance Cloud Storage
5 Conventions
In this Recommendation:
– The keywords "is required to" indicate a requirement which must be strictly followed and from
which no deviation is permitted if conformance to this recommendation is to be claimed.
– The keywords "is recommended" indicate a requirement which is recommended but which is not
absolutely required. Thus this requirement need not be present to claim conformance.
6 Overview
Currently, large-scale visual surveillance system deployment has contributed to the explosive growth of
surveillance video data. Moreover, the massive amount of surveillance video data contains a lot of valuable
information which can be mined to provide more intelligent services. Attention is needed to the efficient
storage of video data and fast access to information of interest to users.
When the surveillance industry changes to all IP network usage, the network video recorder (NVR), as a main
component for surveillance video storage, will gradually replace the existing digital video recorder (DVR).
However, an NVR which is installed on single physical server may reach the maximum storage or throughput
limitation due to predefined resource limitations. In addition, the current NVR-based storage model does not
efficiently support the analysis and mining of the massive amount of video data.
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