scholarly journals A HEVC Video Steganalysis Algorithm Based on PU Partition Modes

2019 ◽  
Vol 59 (2) ◽  
pp. 563-574 ◽  
Author(s):  
Zhonghao Li ◽  
Laijing Meng ◽  
Shutong Xu ◽  
Zhaohong Li ◽  
Shi YunQing ◽  
...  
Keyword(s):  
Video Steganalysis

Digital video steganalysis using motion vector recovery-based features

2012 ◽  
Vol 51 (20) ◽  
pp. 4667 ◽  
Author(s):  
Yu Deng ◽  
Yunjie Wu ◽  
Linna Zhou
Keyword(s):  
Digital Video ◽  
Motion Vector ◽  
Video Steganalysis

Domain Adaptation for Video Steganalysis against Motion Vector Based Steganography

2014 ◽  
Vol 998-999 ◽  
pp. 1138-1145
Author(s):  
Ke Ren Wang ◽  
Wen Xiang Li
Keyword(s):  
Real World ◽  
Domain Adaptation ◽  
Motion Vector ◽  
Component Analysis ◽  
Potential Effect ◽  
Opposite Case ◽  
Real World Applications ◽  
Performance Results ◽  
Video Steganalysis

Video steganalysis takes effect when videos corrupted by the target steganography method are available. Nevertheless, classical classifiers deteriorate in the opposite case. This paper presents a method to cope with the problem of steganography method mismatch for the detection of motion vector (MV) based steganography. Firstly, Adding-or-Subtracting-One (AoSO) feature against MV based steganography and Transfer Component Analysis (TCA) for domain adaptation are revisited. Distributions of AoSO feature against various MV based steganography methods are illustrated, followed by the potential effect of TCA based AoSO feature. Finally, experiments are carried out on various cases of steganography method mismatch. Performance results demonstrate that TCA+AoSO feature significantly outperforms AoSO feature, and is more favorable for real-world applications.

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