Video Authentication via Projected Light Pattern
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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 alterations that can influence decisions, manipulate public opinion, and affect financial markets, making it crucial to develop methods for authenticating videos.
Innovation Solution
A method and system that utilize a light pattern projected onto a physical area captured in the video, where the light pattern is identified by a unique identifier selected based on the sender's identity and time point, allowing verification of the video's authenticity by comparing the extracted light pattern with a reference identifier obtained from a trusted server computer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If deep fake technologies are used to create fake videos, then video manipulation capability is improved, but video authenticity is worsened
Solution Approach 1:
The patent applies preliminary action by projecting a light pattern onto a physical area in the scene before video capture. This light pattern serves as a pre-placed authentication marker that is captured along with the video content. The light pattern identifier is selected based on the sender's identity and time point, creating an authenticating element before the video recording begins, which prevents later manipulation detection failures.
2Ease of operation
If traditional artifact analysis methods are used for detection, then detection simplicity is improved, but detection effectiveness is worsened
Solution Approach 1:
The patent introduces a light pattern as an intermediary authentication element between the camera sensor and the video content. This light pattern projector acts as a mediator that places a known, identifiable pattern into the scene. The receiving party can then query the server for the expected light pattern identifier and compare it with the extracted pattern from the video, creating a reliable verification mechanism that works regardless of deep fake manipulation.
3Manufacturing precision
If sensor customization is applied to replicate camera response characteristics, then deep fake realism is improved, but traditional detection method effectiveness is worsened
Solution Approach 1:
The system performs preliminary action by projecting a light pattern with a known identifier onto the physical area before video capture. This authentication marker is embedded in the scene itself, not in the digital video data. Even if deep fake technologies replicate camera sensor characteristics perfectly, they cannot replicate the physical light pattern that was projected onto the real-world scene, making the authentication robust against sophisticated manipulation.
Data Source
AI summary
A method of authenticating video, the method comprising steps performed by a server computer, the steps comprising: receiving a first request for an identifier from a computing device of a first party, selecting the identifier based on an identity of the first party and on a time point, the selected identifier identifying a light pattern, providing the computing device of the first party with the identifier, for the first party to use for generating and projecting the light pattern onto an area while being captured in a video, receiving a second request for the identifier from a computing device of a second party, and communicating the identifier to the computing device of the second party, the second party being in receipt of the video, for the second party to use for verifying authenticity of the video.