標題: A framework for scalable cloud video recorder system in surveillance environment
作者: Lin, Chia-Feng
Yuan, Shyan-Ming
Leu, Muh-Chyi
Tsai, Ching-Tsorng
資訊工程學系
Department of Computer Science
關鍵字: Survillence Cloud;video recorder;Streaming
公開日期: 2012
摘要: In recent years, video surveillance industry has encountered huge evolution. First, the IP based video cameras are gradually replacing the market share of Closed-circuit television (CCTV). Second, hardware and software based network video record come to market to support more amounts of camera sources. However, pure NVR hardware or software which is installed on single physical machine may reach maximum storage or throughput limitation due to predefined resource limitation. In this paper, we proposed a prototype of cloud based video recorder system under Infrastructure as a Service (IaaS) abstraction layer in cloud computing domain. This system provides scalable video recording, backup and monitoring features. Furthermore, this system was implemented using Hadoop distributed file system to store video streaming. In this way, Map / Reduce mechanism could be used to support intelligent video analysis tasks. The paper shares a good experience while design unlimited resource video recording system.
URI: http://hdl.handle.net/11536/20562
http://dx.doi.org/10.1109/UIC-ATC.2012.72
ISBN: 978-0-7695-4843-2
DOI: 10.1109/UIC-ATC.2012.72
期刊: 2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INTELLIGENCE & COMPUTING AND 9TH INTERNATIONAL CONFERENCE ON AUTONOMIC & TRUSTED COMPUTING (UIC/ATC)
起始頁: 655
結束頁: 660
Appears in Collections:Conferences Paper


Files in This Item:

  1. 000310381500097.pdf