StegaVideo: Robust High-Resolution Video Steganography with Temporal and Edge Guidance
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Current video steganography frameworks have difficulties in balancing robustness and imperceptibility at high resolution. To achieve better video coherence, robustness, and invisibility, we propose an efficient high-resolution video steganography method, named StegaVideo, that utilizes temporal guidance and edge guidance techniques. StegaVideo particularly focuses on concentrating the embedding message in the edge region to enhance invisibility, achieving a Peak Signal to Noise Ratio (PSNR) value of over 38 dB. We simulate various attacks to enhance robustness, with an average bit accuracy of above 99.5%. We use a faster embedding and extracting network, resulting in a 10× improvement in inference speed. Our method outperforms current leading video steganography systems in terms of efficiency, robustness, resolution, and inference speed, as demonstrated by the experiment. Our code will be publicly available at https://github.com/LittleFocus2201/StegaVideo.
Description
CCS Concepts: Computing methodologies → Video processing; Computer vision; Video Steganography
@inproceedings{10.2312:pg.20241280,
booktitle = {Pacific Graphics Conference Papers and Posters},
editor = {Chen, Renjie and Ritschel, Tobias and Whiting, Emily},
title = {{StegaVideo: Robust High-Resolution Video Steganography with Temporal and Edge Guidance}},
author = {Hu, Kun and Hu, Zixuan and Zhu, Qianhui and Wang, Xiaochao and Wang, Xingjun},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-250-9},
DOI = {10.2312/pg.20241280}
}