In order to resist geometrical attacks

an object-based video watermarking algorithm using Zernike moments and image normalization is proposed in this paper. Rotation invariance is achieved by taking the magnitude of the Zernike moments. Image normalization method is used for scale and translation invariance. Though watermark signal can be embedded by modifying the Zernike moments of the cover image

the reconstruction procedure will suffer the fidelity degradation. Also

the reconstruction procedure requires Zernike moments with high order and this leads to a heavy computation load. In order to solve these problems

zero-watermarking technique is employed. Instead of embedding watermark

zero-watermarking technique extracts some essential characteristics from the host signal and uses them for watermark detection. Experimental results show that the scheme is robust against rotation

scaling

as well as a variety of common manipulations such as lossy compression

filtering and additive noise.