High-fidelity video reversible data hiding using joint spatial and temporal prediction
Lincong Li, Yuanzhi Yao, Nenghai Yu
Abstract
An efficient predictor is essential in reversible data hiding methods. This paper proposes a video reversible data hiding method, where the correlations between pixels in both spatial and temporal domains are fully considered to improve prediction accuracy. In more detail, for each pixel, both intra prediction and inter prediction are implemented and the better prediction mode is selected according to intra or inter local complexity. A double-layered video partition scheme is applied so that the motion vectors generated during inter prediction are not necessarily embedded as additional information while reversibility is guaranteed. In addition, a cover pixel selection principle based on the probability distribution of the prediction errors is proposed, which prevents the pixels with large prediction errors from being modified. Experimental results demonstrate that the joint spatial and temporal prediction scheme offers satisfactory accuracy, and the proposed video reversible data hiding method can obtain high-quality stego videos.