Second generation benchmarking and application oriented ... - CVML

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1. Benchmarking state-of-art Stirmark implemented attacks • Convolutions filters • Median filters • JPEG • Color Quantisation • Scaling • Shearing • Change of aspect-ratio • Linear transformations • Rotation & cropping • Rotation, scale and cropping • Cropping • Flip • Row and column removal • Random Bending } HIGH GEOMETRICAL WEIGHT Computer Vision Group University of Geneva
2. New attacks Estimation-based Assumption: WM technology is linear additive y = x + w x: Original data w: Watermark • estimation of cover data (denoising, perceptual remodulation,…) • estimation of watermark (copy attack, synchronization removal,…) Different stochastic methods: • ML-estimate (local mean, local median, …) • MAP-estimate ( Wiener Lee,…) Computer Vision Group University of Geneva
Page 1 and 2: Second generation benchmarking and
Page 3 and 4: 1. Benchmarking state-of-art • Ro
Page 5: 1. Benchmarking state-of-art Classi
Page 9 and 10: 2. New attacks The copy attack (est
Page 11 and 12: 2. New attacks • Non-uniform line
Page 13 and 14: 3. New quality metrics Comparison
Page 15 and 16: 4. Checkmark Application oriented e
Page 17 and 18: 5. Conclusions • Current Stirmark

Second generation benchmarking and application oriented ... - CVML

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