Robustness is one of the major issues of digital watermarking algorithms.An effective method to improve the robustness of watermark is to embed the watermark adaptively based on the human visual system and signal characteristics.In this paper

an adaptive video watermarking algorithm in wavelet domain is proposed.According to the properties of the 2-D wavelet coefficients

the watermark is inserted into the coefficients of LL subband to achieve better robustness performance.In order to enhance the strength of the components of the watermark

we propose to classify the wavelet coeffcents based on the motion of the objects and the texture complexity of the contents in the video sequence.According to the result of classification

the strength of the watermark components is adjusted adaptively.Meanwhile

the transparency of watermark is guaranteed.The experiemental results show that the proposed watermarking algorithm is robust to video degradation and distortions

e.g.

those that result from additive Gaussian noise

MPEG-2 coding at high compression-ratio

temporal downsampling and spatial downsampling.