Open Access
ARTICLE
A MV-Based Steganographic Algorithm for H.264/AVC without Distortion
Hongqiong Tang1, 2, Xiaoyuan Yang1, 2, *, Yingnan Zhang1, Ke Niu1, 2
1 Engineering University of PAP, Xi’an, 710086, China.
2 Key Laboratory of Network and Information Security under the PAP, Xi’an, 710086, China.
* Corresponding Author: Xiaoyuan Yang, Email: .
Computers, Materials & Continua 2020, 63(3), 1205-1219. https://doi.org/10.32604/cmc.2020.010075
Received 10 February 2020; Accepted 23 February 2020; Issue published 30 April 2020
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 (
2n+1)-ary
notational number into an
n-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.
Keywords
Cite This Article
H. Tang, X. Yang, Y. Zhang and K. Niu, "A mv-based steganographic algorithm for h.264/avc without distortion,"
Computers, Materials & Continua, vol. 63, no.3, pp. 1205–1219, 2020. https://doi.org/10.32604/cmc.2020.010075