Robust video steganography algorithm using adaptive skin-tone detection.

Saved in:

Bibliographic Details
Title:	Robust video steganography algorithm using adaptive skin-tone detection.
Authors:	Sadek, Mennatallah¹ menna.sadek@cis.asu.edu.eg, Khalifa, Amal askhalifa@pnu.edu.sa, Mostafa, Mostafa¹ mgmostafa@cis.asu.edu.eg
Source:	Multimedia Tools & Applications. Jan2017, Vol. 76 Issue 2, p3065-3085. 21p.
Subjects:	Cryptography, Adaptive codes, Wavelet transforms, Digital image processing, Skin
Abstract:	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. [ABSTRACT FROM AUTHOR]
	Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	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. [ABSTRACT FROM AUTHOR]
ISSN:	13807501
DOI:	10.1007/s11042-015-3170-8