An Object-based Video Zero-watermarking Algorithm Using Zernike Moments
基于Zernike矩的视频对象零水印算法

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.