Journal of Computer Science

Human Visual Sensitivity Guided Bit Embedding for Video Steganography

S. Balu, K. Amudha and D. C. Nelson Kennedy Babu

DOI : 10.3844/jcssp.2013.928.934

Journal of Computer Science

Volume 9, Issue 7

Pages 928-934


While watching a video human visual system gives more attention on the foreground objects than background objects. That is, human vision system pays more attention to the region of interest, such as the human faces in the video content. Most of the video steganography algorithms embed secret information in video by considering every part of the video frames with equal importance. So the capacity of the steganography could not be increased to maintain low visual distortion. The proposed system will detect the foreground and it will allocate different bit rates for different regions. By doing this the visual distortion will be maintained and the capacity can be increased up to 33%.


© 2013 S. Balu, K. Amudha and D. C. Nelson Kennedy Babu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.