@Article{cmc.2020.010075,
AUTHOR = {Hongqiong Tang, Xiaoyuan Yang, Yingnan Zhang, Ke Niu},
TITLE = {A MV-Based Steganographic Algorithm for H.264/AVC  without Distortion},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {63},
YEAR = {2020},
NUMBER = {3},
PAGES = {1205--1219},
URL = {http://www.techscience.com/cmc/v63n3/38870},
ISSN = {1546-2226},
ABSTRACT = {H.264/AVC video is one of the most popular multimedia and has been widely 
used as the carriers of video steganography. In this paper, a novel motion vector (MV)
based steganographic algorithm is proposed for the H.264/AVC compressed video 
without distortion. Four modules are introduced to eliminate the distortion caused by the 
modifications of motion vectors and guarantee the security of the algorithm. In the 
embedding block, the motion vector space encoding is used to embed a (<i>2n</i>+1)-ary
notational number into an <i>n</i>-dimension vector composed of motion vectors generated 
from the selection block. Scrambling is adopted to disturb the order of steganographic 
carriers to improve the randomness of the carrier before the operation of embedding. The 
re-motion compensation (re-MC) block will re-construct the macroblock (MB) whose 
motion vectors have been modified by embedding block. System block plays the role of 
the generator for chaotic sequences and encryptor for secret data. Experimental results 
demonstrate that our proposed algorithm can achieve high embedding capacity without
stego video visual quality distortion, it also presents good undetectability for existing 
MV-based steganalysis feature. Performance comparisons with other existing algorithms
are provided to demonstrate the superiority of the proposed algorithm.},
DOI = {10.32604/cmc.2020.010075}
}