A Research on Valuation System for Storage Optimized Surveillance Video

被引：0
|
作者：
Mo, Shi-Hong [1 ]
Fan, Bing-Bing [1 ]
机构：
[1] South China Normal Univ, Sch Comp Sci, Guangzhou 510631, Peoples R China
来源：
2018 4TH ANNUAL INTERNATIONAL CONFERENCE ON NETWORK AND INFORMATION SYSTEMS FOR COMPUTERS (ICNISC 2018) | 2018年
关键词：
Surveillance video; magnitude of value; storage optimisation;
D O I：
10.1109/ICNISC.2018.00038
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is difficult to effectively manage storage of surveillance video, owing to the large volume of data, low value density and limited storage time. This research analyses the concept named as magnitude of value of surveillance video, as well as introduces a valuation system that quantifies the value of surveillance video, providing theoretical foundation for dynamic storage management towards data distribution and optimisation based on magnitude of value. According to the result of experiment, this valuation system has satisfactory performance in differentiating surveillance videos with different value.
引用
收藏
页码：154 / 159
页数：6
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