摘要：In this paper a fully automatic scheme for embedding visually recognizable watermark patterns to video objects is proposed. The architecture consists of 3 main modules. During the first module unsupervised video object extraction is performed, by analyzing stereoscopic pairs of frames. In the second module each video object is decomposed into three levels with ten subbands, using the Shape Adaptive Discrete Wavelet Trans-form (SA-DWT) and three pairs of subbands are formed (HL3, HL2), (LH3, LH2) and (HH3, HH2). Next Qualified Significant Wavelet Trees (QSWTs) are estimated for the specific pair of subbands with the highest energy content. QSWTs are derived from the Embedded Zerotree Wavelet (EZW) algorithm and they are high-energy paths of wavelet coefficients. Finally during the third module, visually recognizable watermark pat-terns are redundantly embedded to the coefficients of the high-est energy QSWTs and the inverse SA-DWT is applied to pro-vide the watermarked video object. Performance of the pro-posed video object watermarking system is tested under vari-ous signal distortions such as JPEG lossy compression, sharp-ening, blurring and adding different types of noise. Further-more the case of transmission losses for the watermarked video objects is also investigated. Experimental results on real life video objects indicate the efficiency and robustness of the pro-posed scheme
