VidGuard3D: A Visual Risk Analysis Approach for Protecting 3D Assets Against Video-Based Reconstruction Attacks

Area of Science:

• Computer Vision
• Digital Forensics
• Multimedia Security

Background:

• Unauthorized 3D asset reconstruction from videos poses a significant threat to content publishers.
• The complexity of 3D reconstruction techniques and varied demonstration needs make prevention difficult.

Purpose of the Study:

• To introduce VidGuard3D, a novel visual risk analysis approach for video-based 3D asset reconstruction attacks.
• To quantify and pinpoint risk sources in video data related to 3D asset leakage.
• To develop a system facilitating informed video editing for risk mitigation.

Main Methods:

• Utilizing attack simulation to analyze 3D asset leakage risks.
• Correlating specific video segments with the exposure risk of user-defined asset areas.
• Developing a prototype system for risk-aware video editing.

Main Results:

• Demonstrated the practicality and effectiveness of the VidGuard3D approach through user and case studies.
• Provided a method to understand and quantify risks associated with video-based 3D reconstruction.
• Enabled users to minimize detected leakage risks via targeted video editing.

Conclusions:

• VidGuard3D offers an effective solution for analyzing and mitigating risks of 3D asset reconstruction from videos.
• The approach enhances understanding of video-based 3D asset leakage.
• The developed system empowers users to proactively protect their digital assets.