The study presents a novel method for securely hiding messages in video semantics, showcasing its resilience to distortion and effectiveness compared to traditional steganography techniques.
We perform tests to evaluate the integrity of video frames generated by our method, demonstrating how individual identities can be altered without sacrificing key attributes.
Our extensive experiments on various distortions reveal that our method maintains a high level of accuracy in extracting hidden messages, outperforming existing techniques.
Comparative analysis with other steganography methods highlights the robustness of our approach in maintaining both video quality and the integrity of the concealed information.
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