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Frame duplication and shuffling forgery detection technique in surveillance videos based on temporal average and gray level co-occurrence matrix.
Sondos M. Fadl
Amr Megahed
Qi Han
Qiong Li
Published in:
Multim. Tools Appl. (2020)
Keyphrases
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surveillance videos
forgery detection
video data
video surveillance
digital images
object tracking
multi camera
video frames
video sequences
event detection
machine learning
human activities
frame rate
texture features
video analysis
reference frame
sparse representation