Assessing Deepfake Video Detection Ability Using Unsupervised Machine Learning.
Zachary R. TidlerThereza PereiraGernel S. LumacadRichard CatrambonePublished in: CogSci (2022)
Keyphrases
- machine learning
- face detection and tracking
- detection algorithm
- unsupervised learning
- real time
- video data
- activity detection
- event detection
- detection method
- supervised learning
- video analysis
- false alarms
- supervised classification
- unsupervised manner
- video sequences
- decision trees
- data analysis
- multimedia
- person detection
- shot boundary detection
- object detection and tracking
- false positives
- video frames
- reinforcement learning
- detection rate
- active learning
- object detection
- video database
- pattern recognition
- video indexing
- video segmentation
- machine learning methods
- visual analysis
- multi modal fusion
- detection accuracy
- semantic concept detection
- cut detection
- shot detection
- automatic detection
- feature selection
- natural language
- knowledge representation
- model selection
- anomaly detection
- machine learning algorithms
- space time
- video streams
- temporal information
- video content
- video retrieval
- explanation based learning
- face detection
- concept detection
- text classification
- motion estimation
- information extraction
- support vector machine
- tv broadcast
- data mining