Robust video steganography algorithm using adaptive skin-tone detection

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• 作者：Mennatallah M. Sadek ; Amal S. Khalifa…
• 关键词：Steganography ; Adaptive ; Video ; Skin detection ; Wavelet transform ; Quantization
• 刊名：Multimedia Tools and Applications
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：76
• 期：2
• 页码：3065-3085
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems;
• 出版者：Springer US
• ISSN：1573-7721
• 卷排序：76

文摘

Human skin regions have recently drawn attention in the literature of data hiding due to its promising robustness characteristics. In this paper, we propose a blind adaptive data hiding algorithm for video files where human skin regions are regarded as the Regions Of Interest (ROI) hosting the embedding process. A skin map is created for each frame using an adaptive skin detection algorithm with reduced number of false positives. Then the skin map is converted to a skin-block-map in order to eliminate the error-prone skin pixels that can result in inefficient retrieval of the hidden data. Moreover, the embedding process is done using a wavelet quantization technique over the red and blue channels of the host frames for increased robustness. Experimental results showed the high imperceptibility of the proposed method as well as its robustness against MPEG-4 compression.