scholarly journals A HEVC Video Steganalysis Against DCT/DST-Based Steganography

2021 ◽  
Vol 13 (3) ◽  
pp. 19-33
Author(s):  
Henan Shi ◽  
Tanfeng Sun ◽  
Xinghao Jiang ◽  
Yi Dong ◽  
Ke Xu

The development of video steganography has put forward a higher demand for video steganalysis. This paper presents a novel steganalysis against discrete cosine/sine transform (DCT/DST)-based steganography for high efficiency video coding (HEVC) videos. The new steganalysis employs special frames extraction (SFE) and accordion unfolding (AU) transformation to target the latest DCT/DST domain HEVC video steganography algorithms by merging temporal and spatial correlation. In this article, the distortion process of DCT/DST-based HEVC steganography is firstly analyzed. Then, based on the analysis, two kinds of distortion, the intra-frame distortion and the inter-frame distortion, are mainly caused by DCT/DST-based steganography. Finally, to effectively detect these distortions, an innovative method of HEVC steganalysis is proposed, which gives a combination feature of SFE and a temporal to spatial transformation, AU. The experiment results show that the proposed steganalysis performs better than other methods.

Author(s):  
MyungJun Kim ◽  
Yung-Lyul Lee

High Efficiency Video Coding (HEVC) uses an 8-point filter and a 7-point filter, which are based on the discrete cosine transform (DCT), for the 1/2-pixel and 1/4-pixel interpolations, respectively. In this paper, discrete sine transform (DST)-based interpolation filters (IF) are proposed. The first proposed DST-based IFs (DST-IFs) use 8-point and 7-point filters for the 1/2-pixel and 1/4-pixel interpolations, respectively. The final proposed DST-IFs use 12-point and 11-point filters for the 1/2-pixel and 1/4-pixel interpolations, respectively. These DST-IF methods are proposed to improve the motion-compensated prediction in HEVC. The 8-point and 7-point DST-IF methods showed average BD-rate reductions of 0.7% and 0.3% in the random access (RA) and low delay B (LDB) configurations, respectively. The 12-point and 11-point DST-IF methods showed average BD-rate reductions of 1.4% and 1.2% in the RA and LDB configurations for the Luma component, respectively.


Author(s):  
Khoo Zhi Yion ◽  
Ab Al-Hadi Ab Rahman

<p>This paper presents the design space exploration of the hardware-based inverse fixed-point integer transform for High Efficiency Video Coding (HEVC). The designs are specified at high-level using CAL dataflow language and automatically synthesized to HDL for FPGA implementation. Several parallel design alternatives are proposed with trade-off between performance and resource. The HEVC transform consists of several independent components from 4x4 to 32x32 discrete cosine transform and 4x4 discrete sine transform. This work explores the strategies to efficiently compute the transforms by applying data parallelism on the different components. Results show that an intermediate version of parallelism, whereby the 4x4 and 8x8 are merged together, and the 16x16 and 32x32 merged together gives the best trade-off between performance and resource. The results presented in this work also give an insight on how the HEVC transform can be designed efficiently in parallel for hardware implementation.</p>


2020 ◽  
Author(s):  
Henan Shi ◽  
Tanfeng Sun ◽  
Zhaohong Li

Abstract Currently, many High Efficiency Video Coding (HEVC) video steganography algorithms based on Intra Prediction Mode (IPM) have been proposed. However, the existing IPM-based video steganalysis algorithms are almost designed for H.264/AVC videos, without considering the unique coding techniques in HEVC, which is the latest video codec standard. Thus, it is of significant value to study IPM-based steganalysis for HEVC videos. In this paper, the general process of IPM-based HEVC steganography is modelled for the first time, and we find that the basic distortion existing in the change of the relationships between each embedded IPM and the adjacent IPMs. By exploiting these weaknesses, we propose a novel IPM steganalysis algorithm based on the Relationship of Adjacent IPMs (RoAIPM) feature. In detail, the RoAIPM is extracted by generating different directional Gray-Level Co-occurrence Matrixes (GLCMs) and texture characteristics of three refilled matrixes: MPM-IPM matrix, Left-IPM matrix and Up-IPM matrix. Experimental results show that, the proposed RoAIPM feature is very sensitive to the little change introduced by IPM-based steganography. Regardless of whether the feature is after dimension reduction or not, in various coding conditions, the proposed steganalysis can both present a well higher detection accuracy against the latest IPM-based HEVC steganography methods and achieve the lowest computational complexity compared with the state-of-the-art works.


2012 ◽  
Vol 22 (12) ◽  
pp. 1707-1719 ◽  
Author(s):  
Yuan Yuan ◽  
Il-Koo Kim ◽  
Xiaozhen Zheng ◽  
Lingzhi Liu ◽  
Xiaoran Cao ◽  
...  

2017 ◽  
Vol 77 (12) ◽  
pp. 14557-14577 ◽  
Author(s):  
Yuyun Ye ◽  
Xiaohai He ◽  
Qizhi Teng ◽  
Linbo Qing ◽  
Hongwei Lin ◽  
...  

2016 ◽  
Vol 11 (9) ◽  
pp. 764
Author(s):  
Lella Aicha Ayadi ◽  
Nihel Neji ◽  
Hassen Loukil ◽  
Mouhamed Ali Ben Ayed ◽  
Nouri Masmoudi

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