Browse > Article

A Video Watermarking Method using Global Masking  

문지영 (삼성전자주식회사 디지털미디어연구소)
호요성 (광주과학기술원 정보통신공학과)
Publication Information
Journal of Broadcast Engineering / v.8, no.3, 2003 , pp. 268-277 More about this Journal
Abstract
In this paper, we propose a new video watermarking method exploiting the human visual system (HVS) to find effective locations. in the video frames which make the watermark robust and imperceptible simultaneously. In particular, we propose a new HVS-optimized weighting map for hiding the watermark by considering HVS in three different aspects : frequency, spatial, and motion masking effects. The global masking map is modeled by combining the frequency masking, the spatial masking, and the motion masking. In this paper, we use a watermark which is generated by the bitwise exclusive-OR operation between a logo image and a random sequence. The amount of watermarks is weighted by a control parameter. Furthermore, we embed the watermark in the uncompressed video sequence for the general watermarking method available to various coding schemes. Simulation results show that the watermark is imperceptible and the proposed method is good for watermark capacity. It is also demonstrated that the proposed method is robust against various attacks, such as MPEG coding, MPEG re-encoding, and frame attacks.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 F. Hartung and M. Kutter, 'Multimedia watermarking techniques,' Proc. IEEE, vol. 87, no. 7, pp. 1079-1107, July 1999.
2 R.C. Gonzalez and R. E. Woods, 'Digital Image Processing,' Addison-Wesley, pp. 416-423, 1993.
3 F. Hartung and B. Girod, 'Digital watermarking of uncompressed and compressed video,' Signal Processing (Special Issue on Copyright Protection and Access Control for Multimedia Services), vol. 66, no. 3, pp. 283-301, 1998.   DOI   ScienceOn
4 H.H. Tong and A.N. Venetsanopoulos, 'A perceptual model for JPEG applications based on block classification, texture masking, and luminance masking,' Int'l Conference on Image Processing (ICIP), vol. 3, pp. 428-432, Oct. 1998.
5 W. Zhu, Z. Xiong and Y. Q. Zhang, 'Multiresolution watermarking for images and video,' IEEE Trans. Circuits Sys. Video Tech., vol. 9, no. 4, pp. 545-550, June 1999.
6 W.F. Schreiber, 'Image processing for quality improvement,' Proc. IEEE, vol. 66, pp. 1640-1651, Dec. 1978.
7 M. Swanson, B. Zhu and A. Tewfik, 'Multiresolution scene-based video watermarking using perceptual models,' IEEE Select. Areas Commun.(Special Issue on Copyright and Privacy Protection), vol. 16, pp. 540-550, May 1998.
8 A.B. Watson, 'DCT quantization matrices optimized for individual images,' Human Vision, Visual Processing, and Digital Display IV, SPIE-1913, pp. 202-216, 1993.
9 H.A. Peterson, H. Peng, J.H. Morgan, and W.B. Pennebaker, 'Quantization of color image components in the DCT domain,' Human Vision, Visual Processing, and Digital Display, Proc. SPIE, pp. 210-222, 1991.