摘要
视频监控系统对海量视频数据存储和智能视频分析的需求日益突出。针对系统硬件计算能力有限,用户需求的多样性,系统扩展性复杂等问题,云存储技术有很大突破。通过虚拟化技术构建资源池,使用Hadoop分布式文件系统存储海量视频数据,使用Map/Reduce编程模型实现大数据并行计算,为用户提供实时视频监控和智能视频分析服务。
Demand for massive video data storage and intelligent video analysis of video surveillance system is outstanding. The limited of hardware calculation ability, the diverse needs of user, the complexity of system expansion and so on, cloud storage technology has great breakthrough. To provide users with real-time video monitoring and intelligent video analysis service, Building restmrce pool through virtualization technology, using the Hadoop Distributed File system store massive video data, using Map/Reduce programming model to realize large-scale parallel computing.
出处
《电子设计工程》
2015年第10期169-171,共3页
Electronic Design Engineering
