logging in or signing up Temporal Synchronization in Video Watermarking Brainy007 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 444 Category: Entertainment License: All Rights Reserved Like it (2) Dislike it (0) Added: December 28, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... By: ravikiran.doddapanen (19 month(s) ago) how to download this Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript 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: IntroductionIntroduction: 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 scalingIntroduction: 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: IntroductionWatermark Embedding Model: Watermark Embedding ModelWatermark Embedding Model: Watermark Embedding ModelWatermark 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 ModelWatermark Detection Model: Watermark Detection ModelWatermark Detection Model: Watermark Detection ModelWatermark 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 QueueWatermark 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: EnhancementEnhancement: 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: ExperimentExperiment: Experiment 3 key Schedule Features only Randomness only Adaptive + Feature + Random The End: The End You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Temporal Synchronization in Video Watermarking Brainy007 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 444 Category: Entertainment License: All Rights Reserved Like it (2) Dislike it (0) Added: December 28, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... By: ravikiran.doddapanen (19 month(s) ago) how to download this Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript 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: IntroductionIntroduction: 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 scalingIntroduction: 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: IntroductionWatermark Embedding Model: Watermark Embedding ModelWatermark Embedding Model: Watermark Embedding ModelWatermark 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 ModelWatermark Detection Model: Watermark Detection ModelWatermark Detection Model: Watermark Detection ModelWatermark 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 QueueWatermark 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: EnhancementEnhancement: 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: ExperimentExperiment: Experiment 3 key Schedule Features only Randomness only Adaptive + Feature + Random The End: The End