Adaptive HEVC Steganography Based on Steganographic Compression Efficiency Degradation Model

Author:

Dong Yi1ORCID,Jiang Xinghao1ORCID,Li Zhaohong2ORCID,Sun Tanfeng1ORCID,He Peisong3ORCID

Affiliation:

1. National Engineering Lab on Information Content Analysis Techniques, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Beijing Jiaotong University, Beijing, China

3. College of Cybersecurity, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Projects of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Reference34 articles.

1. A HEVC Video Steganalysis Algorithm Based on PU Partition Modes

2. A prediction mode steganalysis detection algorithm for HEVC;sheng;J Optoelectron Laser,2017

3. Video steganalysis based on intra prediction mode calibration;zhao;Proc Int Workshop Digit Watermark,2015

4. Frame-Wise Detection of Double HEVC Compression by Learning Deep Spatio-Temporal Representations in Compression Domain

5. Universal Detection of Video Steganography in Multiple Domains Based on the Consistency of Motion Vectors

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2. Adaptive HEVC video steganograhpy based on PU partition modes;Journal of Visual Communication and Image Representation;2024-05

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4. A HEVC Video Steganalysis Method Using the Optimality of Motion Vector Prediction;Computers, Materials & Continua;2024

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