Managing privacy data in pervasive camera networks

Sen Ching S. Cheung, Jithendra K. Paruchuri, Think P. Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations


Privacy protection of visual information is increasingly important as pervasive camera networks becomes more prevalent. The proposed scheme addresses the problem of preserving and controlling of the privacy visual data through two innovations. First, unlike the existing centralized control of privacy data, the proposed system allows individual users to make the final decision on every access to their privacy data. As such, it offers a much stronger form of privacy protection as the user no longer needs to trust, adhere or register his/her privacy preferences with a server. The second innovation is the development of a secure reversible data hiding scheme for embedding all the ownership information and privacy data into the obfuscated video bitstream. Not only has it resulted in an efficient design of protocols, the reversible data hiding allows perfect reconstruction of original data and supports arbitrary types of video obfuscation techniques. Impact of data hiding on bitrate and distortion is minimized through a rate-distortion optimization procedure and experimental results are provided to demonstrate its efficiency.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Number of pages4
StatePublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA


  • Digital right management
  • Privacy protection
  • Reversible data hiding

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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