Reversible video watermarking based on histogram modification of motion compansated prediction error

In occluded areas conventional motion estimation techniques lead to high prediction errors. To reduce the prediction error, occlusion detection algorithms should be employed in motion estimation. This paper investigates the influence of the occlusion in a reversible video watermarking technique based on histogram modification of motion compensated prediction error and presents a new reversible video watermarking algorithm that has a better performance in occluded areas.