NVIDIA is tackling "Fake News" with a new tool that is designed to help detect synthetic videos, called Synthetic Video Detector, which will be part of the NVIDIA NIM microservices.
In Today's AI World, Distinguishing What's Real & What's Fake Is Becoming Harder & NVIDIA Is Solving This With Its Synthetic Video Detector NIM Microservice, Which Tackles "Fake News"
With advancements in AI video generation, we're seeing videos that are indistinguishable from real video. While these videos have valuable use cases, they also pose a problem. If we cannot tell the difference between a synthetic video and a real one, it can erode public trust when videos are presented as news, as something that came from the real world.
To address this concern, NVIDIA is leveraging its AI technologies, such as NIM microservices, so that these can also be used to detect when a video is real or synthetic.
NVIDIA has announced Synthetic Video Detector NIM. It's a NIM microservice like any other, so it's very easy to deploy. The Synthetic Video Detector NIM analyzes videos frame by frame to produce a classifier score of whether it contains synthetic content or not. The Editorial teams can then use the data to prioritize clips for review, flag or quarantine questionable footage, or escalate them for deeper analysis.
The Synthetic AI Detector NIM doesn't replace standard and established verification practices, but provides another layer of verification for time-sensitive decisions. According to NVIDIA, the NIM offers model accuracy of up to 92% on uncompressed video, 87% at 15% compression, and 82% at 50% compression.
This NIM microservice can process 1080p video in as little as 22ms on NVIDIA RTX systems and around 30ms on NVIDIA's L40 GPUs.
The latest model revision has also shown improved internal benchmark results, including AUC of 0.9614 and accuracy of 0.9453 on the internal NVIDIA test set. AUC (Area Under the Curve) measures how well a classifier ranks positive samples above negative ones, independent of thresholds. Thresholds can be configured to support different review postures, including more conservative settings that prioritize reducing the chance that synthetic video is missed.
Synthetic Video Detector tool is already topping the leaderboards on the AI GVD bench. NVIDIA is working with Wowza to embed the microservice in its Intelligence Video framework, and it will soon be available to over 35,000 deployments across 170 countries.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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