Adaptive HEVC Video Steganography With High Performance Based on Attention-Net and PU Partition Modes
Author:
Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China
2. School of Cyber Science and Engineering, Ningbo University of Technology, Ningbo, China
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10107476.pdf?arnumber=10107476
Reference36 articles.
1. Distortion Design for Secure Adaptive 3-D Mesh Steganography
2. A Novel Convolutional Neural Network for Image Steganalysis With Shared Normalization
3. Frame-Wise Detection of Double HEVC Compression by Learning Deep Spatio-Temporal Representations in Compression Domain
4. Out-of-the-loop information hiding for HEVC video
5. A DCT/DST-based error propagation-free data hiding algorithm for HEVC intra-coded frames
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