VIDEO WATERMARKING

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VIDEO WATERMARKING: 

VIDEO WATERMARKING Presented by:- MANJESH KUMAR (12100027) Guided by:- Dr. David Peter S.

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CONTENTS Introduction Need of video watermarking Video watermarking terminologies Types Desired properties Application of watermarking Structure of a Typical Video Watermarking System An algorithm of video watermarking Attack on watermark Applications Conclusion References

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INTRODUCTION Definition: A digital watermark is a digital signal or pattern inserted into a digital document such as text, graphics or multimedia, and carries information unique to the copyright owner. Video watermarking is an extension of this concept .

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Need of video watermarking Protect copyright of a data. Video Watermarking can help Prove ownership Identify a misappropriating person Trace the video dissemination Video watermarking introduces some issues not present in image watermarking Frame averaging, frame dropping, frame swapping …

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Video watermarking terminologies Digital Video Payload Perceptibility Robustness Security

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TYPES Two types :- 1. Visible 2. Invisible Visible watermarks Two – fold use : - 1 . To discourage unauthorized usage. 2 . As an advertisement

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EXAMPLE OF VISIBLE VIDEO WATERMARKING

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Invisible watermarks No degradation in the aesthetic quality of the data . Facilitate a claim of ownership . Yields relevant information . Invisible Robust Video Watermarking Techniques Spatial Domain Method Frequency Domain Method MPEG coding Structure based Method

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DESIRED PROPERTIES Robust Video watermarking ( frame averaging, frame dropping , frame swapping, statistical analysis, interpolation ... ) Recoverable from a document Removable by authorized users Low error probability Provide the original information embedded reliably Capacity Invisible

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APPLICATION OF WATERMARKING Owner Identification Proof of Ownership Transaction Tracking Content Authentication Broadcast Monitoring Copy Control Device Control Automatic monitoring of copyrighted material on the Web

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A Generic approach to watermarking digital data There are 3 main processes involved in watermarking — 1. Insertion of a watermark 2. Detection of a watermark 3. Removal of a watermark

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Inserting a watermark It consists of :- A watermark insertion unit that uses:- a. Original video b. Watermark c. A user key to obtain the watermarked video.

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watermark insertion unit The user key , input video and the watermark are passed through a watermark insertion unit. This results in a watermarked video.

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Watermark Extraction Unit Two phases:- 1. Locating the watermark 2. Recovering the watermark information.

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Watermark Detection Unit Consists of :- a. An extraction unit to first extract the watermark. b. Compare it with the original watermark inserted. c. The output is Yes or No depending on whether the watermark is present.

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A watermarking algorithm — The LSB technique Let’s consider still images. Each pixel of the color image has three components — red, green and blue. 3 bytes for each pixel. Each color has 1 byte, or 8 bits.

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The LSB technique……. A pixel that is bright purple in color can be shown as X0 = {R=255, G=0, B=255} Another pixel: X1 = {R=255, G=0, B=254}

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The algorithm Let W be watermarking information For every pixel in the image, Xi Do Loop: Store the next bit from W in the LSB position of Xi [red] byte Store the next bit from W in the LSB position of Xi [green] byte Store the next bit from W in the LSB position of Xi [blue] byte End Loop

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Distortions and attacks Additive Noise. Cropping. Compression. Statistical Averaging. Multiple Watermarking. Mosaic Attack

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An algorithm of VIDEO WATERMARKING Raw video watermarking DFT DCT DWT Watermarking I-frame (Mpeg-1,2 ) Video object watermarking (Mpeg-4)

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Discrete Wavelet Transform Normalized to 256 X 256 pixel size Perform DWT for each frame

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Advantage of DWT Prevent from frame dropping Prevent from adding noise / another video Mark with m 1 Mark with m 3 Mark with m 0 Mark with m 6 Scene change occur

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Watermark Preprocess Safe from frame averaging Hard to reconstruct the watermark 85 64 0 1 2 4 5 6 7 3 Crop Bit Decomposition 8 bit-planes 170 256 0 1 2 4 5 6 7 3 8 bit-planes 170 256 0 1 2 4 5 6 7 3 Total 8 images is obtained m 0 m 7 Place the bit-planes side by side

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Watermark Embedding C[i ] = C[i] + 1 , if W[j] = 1 C[i] = C[i] , otherwise LL, HH is not watermark HL 1 LH 1 HH 1 HL 2 HH 2 LH 2 LL LH LH 3 HH 3 HL 3 HL HH 170 256 0 1 2 4 5 6 7 3 Watermark m i

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Watermark Detection 1. Video Frame 256 X 256 3. DWT DWT result frames Original video frames 4. Compare 2. Detect the scene change 5. Averaging the watermark get from different frames Watermark m i 170 256 m 0 m 1 m 2 m 4 m 5 m 6 m 7 m 3 7. Get different part of W from different scene and reconstruct the large image 170 256 0 1 2 4 5 6 7 3 6. Combine 8 bit-planes 85 64 8. Correlate and verify Extracted Original E O Mark with m 1 Mark with m 3 Mark with m 0 Mark with m 6 Scene change occur

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Future Direction Implement and use do experiment on the scheme Identifiable from very short segment of video Change to blind watermarking scheme Make use of the object

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ATTACK ON WATERMARK Processing operation Compression Rescaling Cropping Multiple watermarks Frame averaging Frame dropping Frame swapping Statistical analysis Interpolation

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CONCLUSION N eed due to Copyright protection Different from image watermarking Brief review of current technologies DWT-based Video Watermarking Scheme with Scramble Watermark Future Direction I nadequate for general use Different tools offering this Set to grow

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REFERENCES F. Hartung and M. Kutter , “Multimedia watermarking techniques ”,Proceedings of the IEEE, vol. 87, no. 7 , July1999. I. Cox, J. Kilian , T. Leighton, and T. Shamoon , “ Secure spread spectrum watermarking for images, audio and video ,” in Proc. IEEE Int . Conf. Image Processing (ICIP 96), Lausanne, Switzerland, Sept. 1996. Yeo and M.M. Yeung , “Analysis and synthesis for new digital video applications,” icip , International Conference on Image Processing (ICIP'97),vol. 1, pp.1,1997.