Meta Video Seal

Meta Video Seal

Meta Video Seal is an open-source neural watermarking tool that embeds invisible, robust watermarks into AI-generated videos to verify their authenticity and trace their origins, even after editing or compression.
https://aidemos.meta.com/videoseal?ref=aipure
Meta Video Seal

Product Information

Updated:Dec 19, 2024

What is Meta Video Seal

Meta Video Seal is a state-of-the-art video watermarking solution developed by Meta to combat the rising threat of deepfakes and AI-generated video manipulation. Launched in response to the quadrupling of deepfake incidents (now comprising 7% of fraud cases globally), this tool represents a significant advancement in digital content security. As an open-source tool released under a permissive license, it comes complete with research papers, training code, and inference code, making it accessible to developers and researchers worldwide.

Key Features of Meta Video Seal

Meta Video Seal is an open-source neural watermarking tool designed to embed invisible, robust watermarks into AI-generated videos. The tool can add both imperceptible watermarks and hidden messages that remain intact even after video editing, compression, or manipulation. It's specifically optimized for video content and can process videos efficiently without analyzing every frame, making it suitable for large-scale deployment while helping combat deepfakes and verify content authenticity.
Invisible Watermarking: Embeds imperceptible watermarks into videos that are invisible to viewers but can be detected through verification methods
Hidden Message Integration: Allows embedding of up to 6-character hidden messages that can be later retrieved to trace video origins
Resilient Against Modifications: Maintains watermark integrity even after common video edits like cropping, blurring, compression, and geometric transformations
Efficient Processing: Uses an optimized approach that doesn't require processing every frame, making it suitable for long videos and large-scale operations

Use Cases of Meta Video Seal

AI Content Verification: Helps platforms and users identify and verify AI-generated content, combating the spread of deepfakes
Content Attribution: Enables creators and companies to embed ownership information and track the origins of their video content
Social Media Protection: Assists social platforms in identifying and managing AI-generated content while maintaining video quality through compression
Digital Rights Management: Helps protect intellectual property and manage digital rights by providing a way to verify content authenticity

Pros

Open-source availability with permissive licensing
Specifically optimized for video content rather than adapted from image watermarking
High resilience against common video modifications

Cons

Requires widespread adoption to be truly effective
May have degraded performance under extreme compression or modifications
Loads full video in memory for non-streaming version, limiting use with very long videos

How to Use Meta Video Seal

Access Video Seal: Visit Meta's official AI demo site at aidemos.meta.com/videoseal or download the model from GitHub
Select Video: Choose a video from the provided library or upload your own video that you want to watermark
Add Hidden Message: Enter up to 6 characters as a hidden message that will be embedded along with the watermark in your video
Apply Watermark: Process the video to embed the invisible watermark and hidden message
View Watermark: Use the comparison slider to see an enhanced X-ray visualization of the embedded watermark on the video
Test Watermark Durability: Optionally stress test the watermark by applying various distortions (blur, crop, compression) to verify if the watermark and hidden message remain detectable
Verify Origin: Use the detection feature to reveal the watermark and hidden message to verify the video's authenticity and origin

Meta Video Seal FAQs

Meta Video Seal is a state-of-the-art, open-source neural watermarking model that embeds invisible watermarks into videos to help verify their origins, especially important in the era of AI-generated content.

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