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Reseach Article

Video Steganography Technique using Skin Tone based Embedding in Chrominance Component of YCbCr Color Space

Published on June 2015 by Sameer M. Khupse, Sneha K. Deshmukh
National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 4
June 2015
Authors: Sameer M. Khupse, Sneha K. Deshmukh
2fba477e-77de-438b-952c-0458e7b39770

Sameer M. Khupse, Sneha K. Deshmukh . Video Steganography Technique using Skin Tone based Embedding in Chrominance Component of YCbCr Color Space. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 4 (June 2015), 19-23.

@article{
author = { Sameer M. Khupse, Sneha K. Deshmukh },
title = { Video Steganography Technique using Skin Tone based Embedding in Chrominance Component of YCbCr Color Space },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 4 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/medha2015/number4/21450-8060/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Sameer M. Khupse
%A Sneha K. Deshmukh
%T Video Steganography Technique using Skin Tone based Embedding in Chrominance Component of YCbCr Color Space
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 4
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

Steganography is defined as the process of hiding information in a multimedia carrier. Ultimate objectives of steganography are undetectability and robustness of the secret data. It is known as adaptive steganography as the data is embed in to the specific Region of Interest (ROI) of the cover image for the purpose of safety of the inserted data. The assurance of both imperceptibility and robustness requirements are the main objectives of developing an image-hiding technique. The main focus is on embedding the data in the skin region of a video frame. Thus we concentrate on the skin detection algorithm to extract the skin region. This acts as the region of interest for embedding the secret message. To perform embedding the video frames are converted to YCbCr colour space. The frame having least MSE is selected to embed secret data. The secret data is then inserted into the chrominance component (Cr or Cb) of YCbCr of a frame which has least MSE. After embedding secret data, steganoflage video is created by transforming the data into RGB colour space. Secure transmission of secret message can be achieveed through steganoflage video. Steganoflage video satisfies the main objective of steganography that is undetectability and robustness of hidden data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Steganography Mse Region Of Interest Ycbcr Color Space.