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Deception Detection in Videos

AAAI 2018 · Video › Video segmentation and tracking · approach: Deepfake video detection · 140 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Fuse IDT, predicted micro-expression scores, MFCC, and transcript featuresAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.8596 -> 0.8773Helped
Add MFCC audio features to IDT and predicted micro-expression scoresAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.8347 -> 0.8596Helped
Add transcript features to IDT and predicted micro-expression scoresAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.8347 -> 0.8347No clear effect
Combine IDT with predicted micro-expression scoresAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.7731 -> 0.8347Helped
Use predicted micro-expression scores instead of IDT aloneAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.7731 -> 0.8064Mixed
Use MFCC audio features alone rather than IDT features aloneAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.7731 -> 0.8171Helped
Add IDT features to ground-truth micro-expression annotationsGround-truth micro-expression system · Real-life Trial Deception DatabaseAUC: 0.8325 -> 0.8988Helped
Add MFCC and transcript features to ground-truth micro-expressions and IDTGround-truth micro-expression system · Real-life Trial Deception DatabaseAUC: 0.8988 -> 0.9221Helped
Replace predicted micro-expression scores with ground-truth annotationsDeception detection system · Real-life Trial Deception DatabaseAUC: 0.8773 -> 0.9221Helped
Use transcript features aloneAutomated deception detection system · Real-life Trial Deception DatabaseAUC: 0.7731 -> 0.6625Hurt
Use off-the-shelf CNN features instead of IDT for micro-expression classificationMicro-expression detectors · Micro-expression detectionAUCHurt

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