A Surveillance Video Index and Browsing System Based on Object Flags and Video Synopsis

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• 作者：Gensheng Ye (20) (21)
  Wenjuan Liao (21)
  Jichao Dong (21) (22)
  Dingheng Zeng (20)
  Huicai Zhong (20)
  
• 关键词：Surveillance video ; retrieval synopsis ; video browsing ; moving objects
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：8936
• 期：1
• 页码：311-314
• 全文大小：310 KB
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• 作者单位：Gensheng Ye (20) (21)
  Wenjuan Liao (21)
  Jichao Dong (21) (22)
  Dingheng Zeng (20)
  Huicai Zhong (20)
  
  20. Institute of Microelectronics of Chinese Academy of Sciences, Beijing, China, 100029
  21. Chinese Academy of Sciences R&D Center for Internet of Things, Wuxi, China, 214135
  22. Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190
  
• ISSN：1611-3349

文摘

This paper demonstrates a novel retrieval and browsing system based on moving objects for surveillance video. Under the pressure of digital video surveillance generalization, massive data with ever-increasing volume has been involved. How to effectively and efficiently employ the surveillance videos is strategically important in practical applications. In order to improve the availability of videos, intelligent applications contain object extraction, video indexing, video retrieval, and fast browsing. Specifically, This system includes two retrieval browsing sub-systems: (1) as for the retrieval browsing based on moving objects, it can achieve the “browsing with object storage-and “browsing with object classification- (2) as for the retrieval browsing based on video synopsis, it can achieve the “browsing with playback synopsis-and “browsing with customized synopsis- As shown in demos, video index and synopsis browsing can be flexibly and efficiently realized in this system.