Detecting Fakes, better results?
Intel’s AI Can Detect DeepFakes With 96 Percent Accuracy
By Adrianna Nine on November 16, 2022 at 10:24 am in ExtremeTech
Deepfakes wasted no time becoming an internet-wide problem. Within just a few years, these manipulated videos have evolved to take part in web comedy, political misinformation, fake job interviews, and even pornography that lacks the depicted person’s consent. Deepfakes are likely to become even more convincing as artificial intelligence (AI) technology develops, leading some companies to seek out or build their own deepfake-detecting techniques.
Intel’s FakeCatcher system does just that, and with surprising accuracy, too. The company says FakeCatcher is able to differentiate videos of real people from deepfakes with 96 percent accuracy in a matter of milliseconds. How does it do it? By looking for the stuff that truly brings us to life: blood.
FakeCatcher seeks out minuscule signs of blood flow in the pixels of a potential deepfake video. As our hearts pump blood, our veins change color. This phenomenon is integral to photoplethysmography (PPG), a technique typically used to monitor a person’s blood flow. Using PPG, FakeCatcher captures blood flow signals from across a video subject’s face. The tool then translates those signals into spatiotemporal maps, which deep learning algorithms compare against human PPG activity to determine whether the subject of the video is real or fake. ... '
No comments:
Post a Comment