2014 · 46 citations · 11 references
Lossy CompressionImage AnalysisMachine VisionEngineeringPattern RecognitionVideo ProcessingCompression Noise CharacteristicsCompression NoiseInformation ForensicsVideo Content AnalysisImage ManipulationIntelligent VideoComputer ScienceImage ForensicsSignal ProcessingComputer VisionVideo Forensics
Intelligent video editing techniques can be used to tamper videos such as surveillance camera videos, defeating their potential to be used as evidence in a court of law. In this paper, we propose a technique to detect forgery in MPEG videos by analyzing the frame's compression noise characteristics. The compression noise is extracted from spatial domain by using a modified Huber Markov Random Field (HMRF) as a prior for image. The transition probability matrices of the extracted noise are used as features to classify a given video as single compressed or double compressed. The experiment is conducted on different YUV sequences with different scale factors. The efficiency of our classification is observed to be higher relative to the state of the art detection algorithms.
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Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.1K citations
Data Classification, Support Vector Machine, Classification Method +15
Video forgery detection using correlation of noise residue
Chih–Chung Hsu, Tzu-Yi Hung, Chia‐Wen Lin et al. · 2008 · 176 citations