Video steganography is the art of unobtrusively concealing secret data in a
cover video and then recovering the secret data through a decoding protocol at
the receiver end. Although several attempts have been made, most of them are
limited to low-capacity and fixed steganography. To rectify these weaknesses,
we propose a Large-capacity and Flexible Video Steganography Network (LF-VSN)
in this paper. For large-capacity, we present a reversible pipeline to perform
multiple videos hiding and recovering through a single invertible neural
network (INN). Our method can hide/recover 7 secret videos in/from 1 cover
video with promising performance. For flexibility, we propose a
key-controllable scheme, enabling different receivers to recover particular
secret videos from the same cover video through specific keys. Moreover, we
further improve the flexibility by proposing a scalable strategy in multiple
videos hiding, which can hide variable numbers of secret videos in a cover
video with a single model and a single training session. Extensive experiments
demonstrate that with the significant improvement of the video steganography
performance, our proposed LF-VSN has high security, large hiding capacity, and
flexibility. The source code is available at this https URL

本文介绍了一种大容量和灵活的视频隐写网络 (LF-VSN)，提出了一种可逆的管道，可以通过单个神经网络隐藏 / 恢复多个秘密视频，还介绍了一种可控密钥方案，使不同的接收者能够从相同的覆盖视频中恢复特定的秘密视频。同时，为多个视频隐藏提供了可伸缩策略，可以通过单个模型和单个训练会话在覆盖视频中隐藏不同数量的秘密视频。经过广泛的实验证明，在视频隐写性能显著提高的同时，我们提出的 LF-VSN 具有高安全性，大隐藏容量和灵活性。