Generative Steganography via Live Comments on Streaming Video Frames-Reference-Cited by-同舟云学术

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Generative Steganography via Live Comments on Streaming Video Frames

Published:2024-06 Issue:3 Volume:11 Page:4412-4425
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Liu Yuling¹^ORCID,Wang Cuilin²^ORCID,Wang Jie³^ORCID,Ou Bo¹^ORCID,Liao Xin¹^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. Xiangxi Power Supply Branch, State Grid Hunan Electric Power Company, Ltd., Jishou, China

3. Richard Miner School of Computer & Information Sciences, University of Massachusetts, Lowell, MA, USA

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Natural Science Foundation of Fujian Province

Key R&D projects in Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570650/10557215/10462497.pdf?arnumber=10462497

Reference44 articles.

1. A New Steganographic Method for Data Hiding in Microsoft Word Documents by a Change Tracking Technique

2. Reversible Linguistic Steganography With Bayesian Masked Language Modeling

3. Non-Additive Cost Functions for Color Image Steganography Based on Inter-Channel Correlations and Differences

4. Reversible Data Hiding With Hierarchical Embedding for Encrypted Images

5. Multi-Channel HEVC Steganography by Minimizing IPM Steganographic Distortions

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