V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection

arXiv:2404.16824v1 Announce Type: new
Abstract: AI-generated video has revolutionized short video production, filmmaking, and personalized media, making video local editing an essential tool. However, this progress also blurs the line between reality and fiction, posing challenges in multimedia forensics. To solve this urgent issue, V2A-Mark is proposed to address the limitations of current video tampering forensics, such as poor generalizability, singular function, and single modality focus. Combining the fragility of video-into-video steganography with deep robust watermarking, our method can embed …

abstract ai-generated video arxiv audio challenges copyright copyright protection cs.cv editing fiction filmmaking forensics generated however issue line localization making manipulation mark media multimedia personalized production progress protection reality solve tool type video video production visual watermarking