Dartmouth Professor Hany Farid already devised software tools to detect when someone has tampered with digital photos. His next challenge: determining whether video or audio files have been retouched.
“I thought, ‘This is going to be so much easier,’ but it turns out to be much harder,” Farid said. “In a minute (of) video, you are talking about thousands of images. Just the sheer mass of data that you have to contend with is challenging. You have memory and run-time issues that you don’t have with (still) images.”
The Dartmouth Image Science Group is also releasing a series of tools that will enable law enforcement officials, scientists and media outlets to detect photo fraud more easily, he said.