Interaction relationships of caches in agent-based HD video surveillance: Discovery and utilization

  • Authors:

  • Wenjia Niu;Gang Li;Endong Tong;Xinghua Yang;Liang Chang;Zhongzhi Shi;Song Ci

  • Affiliations:

  • Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;School of Information Technology, Deakin University, 221 Burwood Highway Vic 3125, Australia;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2014

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Abstract

In the research of networked HD video surveillance, various caches embedded in the IP camera, the data management server and the network proxy server are used for lossless video storage and complete playback. How to utilize agent technology to achieve effective and collaborative caching in the end-to-end process of video capture, network data transmission and video data management, has been considered as an emerging solution. However, on one hand, according to the cache's location in HD video surveillance implementation, all caches can form a top-down hierarchical structure in a vertical direction; while on the other hand, according to the cache's storage performance such as free storage space, ''similar'' caches at the same level can be grouped by clustering in a horizontal direction. Hence, how to discover the complex interaction relationships among caches by considering both vertical and horizontal directions and further effectively make optimized video stream transmission though collaborative caching is still an open and challenging problem. In this paper, we designed an agent-based collaborative caching model, in which three roles of agents: the Capturer Agent, the Transmitter Agent and the Manager Agent are developed for discovering the intrinsic interaction relationships of caches. By utilizing the relationship, approaches to controlling caching activities and planning video stream transmission are further proposed. The case study and experimental evaluations demonstrate the capability of the proposed approach for HD video surveillance.