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العنوان
Developing an adaptive algorithm for
information hiding in video streams/
المؤلف
Hassan, Mennatallah Mostafa Sadek.
هيئة الاعداد
باحث / Mennatallah Mostafa Sadek Hassan
مشرف / Mostafa Gadal-Haqq M. Mostafa
مشرف / Amal Said Mohammed Khalifa
تاريخ النشر
2015.
عدد الصفحات
125 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم الحاسب الآلي
تاريخ الإجازة
1/1/2015
مكان الإجازة
اتحاد مكتبات الجامعات المصرية - الحاسبات و المعلومات
الفهرس
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Abstract

Steganography is the art and science of secret communication. Modern cover
types can take different forms. Nowadays, video streams are transmitted more
frequently on internet websites imposing a larger practical significance on video
steganography. A video can be considered a sequence of images. Information
hiding in video has a variety of techniques. Although great efforts were done in
developing these techniques, but most of them suffer from intolerance to video
processing attacks and lack any intelligent processing of the cover video.
Adaptive video steganography was recently proposed in the literature. It aims to
achieve better quality of the stego-video by intelligently processing the cover
according to some criteria. This helps to identify the best regions for data
hiding, referred to as Regions Of Interest (ROI). A recent research by Cheddad
et al. showed that data embedding in human skin regions as ROI yield better
imperceptibility and increase the hiding robustness.
In this work, a blind adaptive algorithm for robust video steganography is
proposed. The proposed algorithm adaptively processes the cover video and
hides data in its human skin regions. A skin map is created for each frame using
a fast adaptive skin detection method. Then a blocking step is applied on the
produced skin-map converting it into a skin-block-map for discarding the errorprone
skin pixels and enhancing the extraction quality. Next, the skin-block blockmap
is used for guiding the embedding procedure. Finally, the secret bits are
embedded in the detail coefficients of the red and blue components of each
frame using a wavelet quantization-based algorithm for achieving robustness
against MPEG-4 compression. Hiding capacity, imperceptibility, extraction
accuracy and robustness against MPEG-4 compression of the proposed
algorithm were tested. Results show the high imperceptibility of the proposed
algorithm and its robustness against MPEG-4 compression.