BROWSE
Detail
Conference Paper
Robust Watermark detection Against D-A/A-D Conversion for Digital Cinema using Local Auto-correlation Function
Cited 16 time in 
Share 
Share
- Authors
- Min-Jeong Lee, Kyung-Su Kim, Hae-Yeoun Lee, Tae-Woo Oh, Young-Ho Suh, Heung-Kyu Lee
- Issue Date
- 2008-10
- Citation
- International Conference on Image Processing (ICIP) 2008, pp.425-428
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a blind watermark detection scheme for digital cinema which is robust against D-A/A-D conversion attack. D-A/A-D conversion attack commonly happens during capturing cinema with a camera and is composed of various geometrical distortions as well as signal processing distortions. In many video applications, geometric distortions have been compensated by utilizing auto-correlation function (ACF). Since the ACF cannot resist projective transform but affine transform, we present a robust watermark detection scheme utilizing local auto-correlation function (LACF) with a mathematical model. Also, we suggest a way to design watermark pattern to improve performance of the LACF. We demonstrate robustness of the presented scheme against D-A/A-D conversion attacks for digital cinema as well as common video processing attacks. © 2008 IEEE.
- KSP Keywords
- Detection scheme, Digital cinema, Geometric distortions, Mathematical model, Projective Transform, Signal Processing, Video processing, affine transform, auto-correlation function(ACF), blind watermark detection, robust watermark