A real-time wavelet-based video compression approach to intelligent video surveillance systems

Bing Fei Wu*, Yen Lin Chen, Chao Jung Chen, Chung Cheng Chiu, Chorng Yann Su

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

This work presents a wavelet-based approach to compressing video, with high speed, high image quality and high compression ratio. Using the sequential characteristics of surveillance images, this method applies the low-complexity zero-tree coding, which costs low memory, to develop an algorithm for encoding and decoding video, which greatly improves the speeds of compression and decompression and maintains images of high quality. The method provides good quality and smoothness even under multi-channel surveillance, and so is of great value to companies that develop multi-channel surveillance systems. The ActiveX technique is used to implement the algorithm to take advantage of multimedia, the internet and visual rapid-application-development. The versatile and intelligent surveillance system includes peripheral computer hardware and mobile communication. Incorporating IA, this system is not just a surveillance system but is, rather, an intelligent home manager that can control electronic appliances, video/audio systems and home security in an 'e-Home'.

原文英語
頁(從 - 到)50-64
頁數15
期刊International Journal of Computer Applications in Technology
25
發行號1
DOIs
出版狀態已發佈 - 2006

ASJC Scopus subject areas

  • 軟體
  • 資訊系統
  • 電腦科學應用
  • 電腦網路與通信
  • 工業與製造工程
  • 電氣與電子工程

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