Video Authentication via Projected Light Pattern Verification
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Solution Overview
Problem
Advanced video editing technologies, such as deep faking, pose a significant threat to the authenticity of videos communicated or broadcast, allowing malicious manipulation that can influence decisions, public opinion, and even manipulate financial markets, as existing methods are inadequate to detect and prevent such alterations.
Innovation Solution
A method and system that utilize a light pattern projected onto a physical area within the video, verified using a reference light pattern identifier and a time difference, to authenticate the video's authenticity, ensuring it has not been tampered with.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If advanced video editing technology is used, then video manipulation capability is improved, but video authenticity is compromised
Solution Approach 1:
A light pattern is projected onto the scene before video capture, creating a reference authentication marker that is embedded in the original video content. This preliminary action ensures that the authentic video contains a known light pattern that can be used for later verification, preventing manipulation even after the video is captured and transmitted.
2Ease of operation
If traditional artifact analysis methods are used, then detection simplicity is improved, but detection effectiveness is compromised
Solution Approach 1:
The authentication method uses a light pattern with specific visual characteristics (color, shape, position) that can be easily identified and verified. By projecting a distinctive light pattern onto the scene and verifying its presence in the captured video, the system provides a simple yet effective detection mechanism that works across different video editing tools and platforms.
3Manufacturing precision
If deep fake technology is used, then video realism is improved, but video trustworthiness is compromised
Solution Approach 1:
The light pattern serves as an intermediary authentication element that is independent of the video content itself. This mediator provides a separate verification channel that is not susceptible to deep fake manipulation, allowing the system to verify video authenticity without interfering with the visual quality or realism of the video content.
Data Source
AI summary
A method of authenticating video, comprising using a computing device of a receiving party, for: receiving a video showing a light pattern being projected onto an area captured in the video, the video being associated with a time point, extracting the light pattern from the received video, and verifying authenticity of the received video based on the extracted light pattern, on a reference light pattern identifier, and on a time difference between a time of receipt of the video by the receiving party and the time point.