Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs

arXiv:2407.02411v2 Announce Type: replace-cross
Abstract: The advent of video-based Large Language Models (LLMs) has significantly enhanced video understanding. However, it has also raised some safety concerns regarding data protection, as videos can be more easily annotated, even without authorization. This paper introduces Video Watermarking, a novel technique to protect videos from unauthorized annotations by such video-based LLMs, especially concerning the video content and description, in response to specific queries. By imperceptibly embedding watermarks into key video frames with …

arxiv authorization can cs.cr cs.cv cs.mm data data protection language language models large llms novel protect protection safeguarding safety unauthorized understanding video videos watermarking