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Temporal Synchronization in Video Watermarking

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Information about Temporal Synchronization in Video Watermarking
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Published on December 28, 2007

Author: Brainy007

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Temporal Synchronization in Video Watermarking Eugene T.Lin & Edward J.Dept:  Temporal Synchronization in Video Watermarking Eugene T.Lin & Edward J.Dept Eugene T.Lin, Student Member, IEEE, and Edward J.Dept, Fellow, IEEE. Outline:  Outline Introduction Watermark Embedding Model Watermark Detection Model Enhancement Experiment Introduction:  Introduction Introduction:  Introduction Embed: f0 f1 f2 f3 f4 f5 … k0 k1 k2 k3 k4 k5 … Detect: … f … … k? … Introduction:  Introduction Attack Frame drop Frame insert Frame transposition Frame averaging Temporal interpolation or temporal scaling Introduction:  Introduction Key schedule Time-invariant key 1 1 1 1 1 1 1 … Time-periodic key 1 2 3 1 2 3 1 2 3 … Time-independent key 1 2 3 4 5 6 7 8 9 … Estimation attack? Introduction:  Introduction Watermark Embedding Model:  Watermark Embedding Model Watermark Embedding Model:  Watermark Embedding Model Watermark Embedding Model:  Watermark Embedding Model Key Generator assume key space K = { 0, 1, 2 …, k-1 } ( S, S0, I, O, ψ, λ ) S : the set of states : { s0,s1,s2,s3 …, s|K|-1 } S0 : initial state I : input domain = K x S O: output domain = K ψ: transition function : S x I S s(t+1) = ψ( s(t), Ke, F(t) ) λ: output function : S O k(t) = λ( s(t) ) Watermark Embedding Model:  Watermark Embedding Model Watermark Detection Model:  Watermark Detection Model Watermark Detection Model:  Watermark Detection Model Watermark Detection Model:  Watermark Detection Model Queue & preditor ψ: transition function : S x I -> S s(t+1) = ψ( s(t), Ke, F(t) ) λ: output function : S -> O k(t) = λ( s(t) ) F0 F1 F4 F2 s0 s1 s2 s3 Queue Watermark Detection Model:  Watermark Detection Model Problem? Frame insert ? OK!! Frame drop ? Fail … Watermark Detection Model:  Watermark Detection Model Key schedule 111 222 333 1’1’1’ 2’2’2’ 3’3’3’ WEP s(t+β) = ψ( s(t), Ke, F(t+β-1) ) Problem? Enhancement:  Enhancement Enhancement:  Enhancement WEP s(t+β) = ψ( s(t), Ke, F(t+β-1) ) Problem ? Enhancement:  Enhancement Problem ? … F1 F1 F1 F2 F2 F2 … … k1 k1 k1 k1 k2 k2 … Solve - Adaptive state transitions Change key only β freature vectors are the same , and At lease β frames are embedded with same keys. Enhancement:  Enhancement Adaptive state transitions Security Define ψ as cryptographic hash function S(t+1) = ψ(s(t),Ke,F(t)) = SH(s(t),Ke,F(t)) Nondeterministic SM S(t+1) = ψ… = SH(s(t),Ke,F(t),R) R 通常是很小的值。 Experiment:  Experiment Experiment:  Experiment 3 key Schedule Features only Randomness only Adaptive + Feature + Random The End:  The End

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