1st Review Slides

8/2/2019 1st Review Slides

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Data Hiding in Motion Vectors ofCompressed Video.

Batch 5Project Members:

1.Pothala Preetam (30408104070)2.Vikram Reddy .M(30408104112)3.Vivek Rajan .N(30408104115)

Guide:K.Uma,M.E,(Ph.D)

Assistant Professor

Easwari Engineering CollegeDepartment of Computer Science and Engg


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Objectives

To hide secret data in the motion vectors of acompressed video which is not vulnerable toSteganalysis.

To maintain the quality and size of thereconstructed video.



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Motivation

Data Hiding is mainly used in InformationSecurity and in Defense.

Interest in the recent improvements in the data

hiding techniques.


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Existing System

The existing method targets the motion vectors ofthe compressed video based on their attributes such

as magnitude and phase angle.

The motion vector is selected if its magnitude is large andthe phase angle between two motion vectors is high.

The secret message is encoded in both thehorizontal and vertical component of motion vector.


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Challenges in the Existing System

Easily vulnerable to steganalysis.

Existing method has higher distortion to the qualityof the reconstructed video.

Existing method has high increase in the data size of

the reconstructed video.


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Proposed System

It targets the motion vectors which are used to reconstruct

and encode both the predictive and bidirectional frames inthe compressed video.

The motion vectors with high prediction error(low PSNR)

are chosen so that it is not vulnerable to steganalysis .


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The secret message is encrypted into a cipher text.

The cipher text is coded into bit-stream which is embeddedin LSB of both the horizontal and vertical components ofthe motion chosen vectors.

By using the algorithms the secret message bit-stream is encoded and decoded.

The proposed method have lower distortion to thequality of the video and lower increase data size .

Proposed System


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Input and output of the system

SystemHost video

SignalVideo with secretMessage embedded in it.


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System ArchitectureInput Video

Datahiding

DataExtraction

SecretMessage

secret

message

EncryptionEKey

Cipher text

Bit stream

GOPsObtain

Motion vectors

Tkey

TKey

EKey


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Functional Architecture

MODULE 1 MODULE 2 MODULE 3

Organizing input

video signal

Into GOP

Determining

motion vectors Data hiding

Data

Extraction

Results

Encrypting

Secret messageinto Cipher text


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List of modules

1.Organise the input video signal into GOPs and determine

the candidate motion vectors.

2.Data Encryption and Data Hiding.

3.Data extraction, results.


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Module 1Organize the input video signal into GOPs and

determine the candidate motion vectors.

In this module:

1.Input video is ordered into group of pictures(GOP) whoseframes can be encoded in the sequence: [I,B,B,P,B,B,P,B,B].

2.Target the candidate motion vectors who associative macroblock prediction is high (low PSNR).


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Input and output of module 1

SystemInput video GOP, Candidate

motion vectors.


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Design of module 1

Input

Video

Ordered into

group of

pictures

Coded in the

sequence

I,B,B,P,B,B,P,B,B

Determining the

candidate motionvectors

TKey


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Module 2

Data Encryption and Data Hiding

In this module:

1.The secret message is encrypted into cipher text usinga key and is coded into bit stream.

2.Message bit stream and both the keys are hidden inmotion vectors of GOPs .


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CMV & GOPData Hiding

Video with secretmessage hidden


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Design of module 2

secret

message

Encryption

Cipher text

Bit stream

EKey Data Hiding

& Compression

TKey

Video with secret

message hidden


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Algorithm for module 2:Data hiding in GOP

Input : GOP, motion vectors,Output : Data embedded in the Encoded GOP

For each P and B frame in GOP (d,E`) Obtain the motion vectors Get the message bit stream size.Replace the LSB of the motion vectors horizontal andvertical component with message bit stream.

For B-Frame replace for the backward compensationmotion vectors the least significant bit.


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Algorithm for module 2:Data hiding in GOP(contd)

Compress the video using JPEG compression.

The key for each frame is different which is also hiddenin the motion vectors or sent via a different channel.


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Module 3Data extraction

In this module:

1.The compressed video with secret message embedded in itis now decompressed.

2.The secret message bit stream is extracted back by decryption

and reconstructed back by concatenation.

3.The results are evaluated based on two metrics:quality distortion to the reconstructed video and data size

increase of the compressed video.


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Data

Extraction

Hidden secret

message bit streamVideo with secretmessage hidden


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Design of module 3

Data Extractor

(Decryption)

Extracted

message bit

stream

Video with secret

message hidden

Concatenation

Secret

message


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Algorithm for module 3:Data Extraction

Input : Compressed GOP with secret message in it.Output : Message bit stream m.

Extract the keys for all frames in GOP from I-frameor use them from other channel.For each P and B Frame in GOP do

Decompress the GOP and identify the candidate motionvectors.

Extract the cipher text from the motion vectors.Extract the original message by decryption.


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References

Data Hiding in Motion Vectors of CompressedVideo Based on Their Associated Prediction

Error by Hussein A. Aly , Member, IEEE inIEEE TRANSACTIONS ON INFORMATIONFORENSICS AND SECURITY, VOL. 6, NO. 1,MARCH 2011


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Information hidingA survey

By F. A. P. Petitcolas, R. J. Anderson, and M. G. Kuhn,in Proc. IEEE, vol. 87, no. 7, pp. 10621078,Jul.1999.

References

Data hiding in H.264 encoded video sequences

By S. K. Kapotas, E. E. Varsaki, and A. N. Skodras,in IEEE 9th Workshop on Multimedia SignalProcessing (MMSP07), Oct. 2007, pp. 373376.


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References

A novel video watermark technique in motion vectors

By P.Wang, Z. Zheng, and J. Ying, in Int. Conf.Audio, Language and Image Processing (ICALIP),Jul. 2008, pp. 15551559.

Steganography in compressed video stream

By C. Xu, X. Ping, and T. Zhang, in Proc. Int. Conf.Innovative Computing, Information and Control(ICICIC06), 2006, vol. II, pp. 803806.


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ReferencesA novel steganographic algorithm based on the motion vector phase,

By X. He and Z. Luo, in Proc. Int. Conf. Comp. Sc. and Software Eng.,

2008, pp. 822825.

Data hiding for digital video with phase ofmotion vector,

By D.-Y. Fang and L.-W. Chang, in Proc. Int. Symp. Circuits and

Systems (ISCAS),2006, pp. 14221425.


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web search Results


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3/20/2012 29

3.StateChart Diagram

web search Results


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4.Activity Diagram

web search Results


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5.Component Diagram


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1st Review Slides

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