Authenticity Seal for Human-Speaker Video Modification Disclosure
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Solution Overview
Problem
The lack of trust in the integrity of recorded video due to the rise of AI-driven imaging technologies that can manipulate video content, making it difficult to distinguish between real and artificial recordings, hinders the adoption of asynchronous video communication.
Innovation Solution
A software and hardware facility that applies an authenticity seal to video segments, visually indicating the authenticity and modifications made, using a simple iconographic visualization with color tones to confirm the originality of the speaker's emotional expression and identity, and providing real-time verification mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI-driven imaging technologies are used to manipulate video content, then video editing and creation capabilities are improved, but trust in video integrity deteriorates
Solution Approach 1:
The system performs preliminary actions by embedding authenticity metadata and cryptographic signatures into the video data during the recording process. This proactive approach establishes a trust foundation before the video can be manipulated, allowing verification of the original recording's authenticity while still permitting later editing with appropriate provenance tracking.
Solution Approach 2:
The patent introduces an intermediary authenticity verification system that acts as a mediator between the video content and the viewer. This system uses cryptographic proofs, metadata validation, and provenance tracking to verify video authenticity without restricting legitimate editing capabilities, thus resolving the conflict between video manipulation flexibility and trust integrity.
2Reliability
If authenticity verification mechanisms are implemented, then trust in video authenticity is improved, but system complexity increases
Solution Approach 1:
The patent extracts the complexity of authenticity verification into separate, modular components including cryptographic signature generation, metadata embedding, and verification modules. This allows the core video recording and playback functionality to remain simple while providing robust authenticity verification when needed, reducing the perceived complexity for end users.
Solution Approach 2:
The system implements self-service mechanisms where the authenticity verification process automatically executes without requiring user intervention. The verification metadata is embedded in the video file itself, enabling automatic validation by playback software, thus reducing system complexity from the user perspective while maintaining strong authenticity guarantees.
3Reliability
If visual indicators of authenticity are displayed, then user confidence in video originality is improved, but information overload may occur
Solution Approach 1:
The patent applies local quality by providing detailed authenticity information only where needed - such as metadata embedded in the video file, optional overlay indicators during playback, and context-specific verification displays. This approach maintains user confidence through targeted information presentation without creating overall information overload, as the detailed verification data is available on-demand rather than continuously.
Data Source
AI summary
A facility for confirming the authenticity of an audio/video sequence showing a human speaker is described. The facility causes the audio/video sequence to be presented. In connection with presentation of the audio/video sequence, the facility presents a visual indication specifying an extent to which video and/or audio captured from the person was modified to produce the audio/video sequence.