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Published on Oct 30, 2018
SRI’s Spotting Audio-Visual Inconsistencies (SAVI) techniques detect tampered videos by identifying discrepancies between the audio and visual tracks. For example, the system can detect when lip synchronization is a little off or if there is an unexplained visual “jerk” in the video. Or it can flag a video as possibly tampered if the visual scene is outdoors, but analysis of the reverberation properties of the audio track indicates the recording was done in a small room.
Approved for Public Release, Distribution Unlimited.
This project is funded by DARPA (contract and funding through AFRL) under DARPA’s Media Forensics (MediFor) Program, Contract #FA8750-16-C-0170.