IH 2011: Information Hiding pp 193-207 | Cite as
Video Steganography with Perturbed Motion Estimation
Conference paper
Abstract
In this paper, we propose an adaptive video steganography tightly bound to video compression. Unlike traditional approaches utilizing spatial/transformed domain of images or raw videos which are vulnerable to certain existing steganalyzers, our approach targets the internal dynamics of video compression. Inspired by Fridrich et al’s perturbed quantization (PQ) steganography, a technique called perturbed motion estimation (PME) is introduced to perform motion estimation and message hiding in one step. Intending to minimize the embedding impacts, the perturbations are optimized with the hope that these perturbations will be confused with normal estimation deviations. Experimental results show that, satisfactory levels of visual quality and security are achieved with adequate payloads.
Keywords
Mean Square Error Motion Estimation Visual Quality Data Hiding Video Compression
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