An Adaptive Video Steganography Based on Intra-prediction Mode and Cost Assignment

In this paper, we proposed an adaptive video steganography algorithm based on intra-prediction mode. Unlike traditional approaches locating the embedding position referring to the changed mode selection of I4-blocks which are randomly distributed across the whole I frame, our approach applies modifications in an adaptive way. Inspired by Fridrich et al.’s STC, costs assignment of candidate blocks are introduced to perform adaptive embedding perturbations within the optimal cost area which has the characteristic of complex texture. The perturbations are optimized with the hope that these perturbations will be confused with normal mode assignments that cannot be detected by state-of-art steganalytic methods. Experimental results have validated the feasibility of the proposed method.