Restricted H.264/AVC video coding for privacy protected video scrambling

The issue of personal privacy has garnered significant attention with the extensive application of video surveillance systems. Privacy region scrambling is an effective method to protect privacy in video. To ensure that nonprivacy regions are not affected by scrambling, particular methods must be taken to prevent drift error in privacy protected video scrambling. However, existing methods have significantly reduced the coding efficiency. In this paper, we focus on improving coding efficiency while preventing drift error in privacy protected H.264/AVC video scrambling, which is the state-of-the-art coding standard. A restricted video coding scheme is proposed, which involves three parts of Mode Restricted Intra Prediction (MRIP), Search Window Restricted Motion Estimation (SWRME) and Boundary Strength Restricted Deblocking Filtering (BSRDF). Experimental results show that the proposed restricted video coding scheme prevents drift error with higher coding efficiency than others.

[1]  Yongdong Zhang,et al.  Prediction restricted H.264/AVC video scrambling for privacy protection , 2010 .

[2]  Touradj Ebrahimi,et al.  Scrambling for Video Surveillance with Privacy , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[3]  Noboru Babaguchi,et al.  A discrete wavelet transform based recoverable image processing for privacy protection , 2008, 2008 15th IEEE International Conference on Image Processing.

[4]  Minghua Chen,et al.  Hiding privacy information in video surveillance system , 2005, IEEE International Conference on Image Processing 2005.

[5]  Sharath Pankanti,et al.  Blinkering Surveillance: Enabling Video Privacy through Computer Vision , 2004 .

[6]  Touradj Ebrahimi,et al.  Scrambling for Privacy Protection in Video Surveillance Systems , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Konstantinos N. Plataniotis,et al.  Coding and encryption of visual objects for privacy protected surveillance , 2008, 2008 15th IEEE International Conference on Image Processing.

[8]  Bradley Malin,et al.  Preserving privacy by de-identifying face images , 2005, IEEE Transactions on Knowledge and Data Engineering.

[9]  K. Plataniotis,et al.  Privacy Protected Surveillance Using Secure Visual Object Coding , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Touradj Ebrahimi,et al.  H.264/AVC video scrambling for privacy protection , 2008, 2008 15th IEEE International Conference on Image Processing.

[11]  Jani Lainema,et al.  Adaptive deblocking filter , 2003, IEEE Trans. Circuits Syst. Video Technol..

[12]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[13]  T.E. Boult,et al.  PICO: Privacy through Invertible Cryptographic Obscuration , 2005, Computer Vision for Interactive and Intelligent Environment (CVIIE'05).

[14]  Hari Kalva,et al.  Compression independent object encryption for ensuring privacy in video surveillance , 2008, 2008 IEEE International Conference on Multimedia and Expo.