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Spatial Domain Video Watermarking-A Correlation Based Approach


Affiliations
1 Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot, Gujarat, India
2 Noble Group of Colleges, Junagadh, India
     

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In this paper, we have suggested two different spatial domain method based on the correlation property for the digital video watermarking and used the same for embedding invisible watermarks behind the video. It is used for the copyright protection as well asproof of ownership. Here we used the characteristic of the spatial domain methods for the embedding of the binary watermark where depending on the watermark the pixel value is directly modified and at the receiver end the modification is reverted. In this paper we first extracted the frames from the video and then embedded thewatermark using a key and a pseudo random pattern generated using the key. At the receiver end we used correlation characteristics of the pixels for watermarking extraction. In this paper we have designed a threshold based and a comparison based correlation approaches and at the end of the paper we compared both methods based on different visual quality matrices.

Keywords

Digital Video Watermarking, Copyright Protection, Spatial Domain Watermarking, Threshold Based Correlation, Comparison Based Correlation.
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  • Spatial Domain Video Watermarking-A Correlation Based Approach

Abstract Views: 174  |  PDF Views: 3

Authors

Ashish M. Kothari
Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot, Gujarat, India
Ved Vyas Dwivedi
Noble Group of Colleges, Junagadh, India

Abstract


In this paper, we have suggested two different spatial domain method based on the correlation property for the digital video watermarking and used the same for embedding invisible watermarks behind the video. It is used for the copyright protection as well asproof of ownership. Here we used the characteristic of the spatial domain methods for the embedding of the binary watermark where depending on the watermark the pixel value is directly modified and at the receiver end the modification is reverted. In this paper we first extracted the frames from the video and then embedded thewatermark using a key and a pseudo random pattern generated using the key. At the receiver end we used correlation characteristics of the pixels for watermarking extraction. In this paper we have designed a threshold based and a comparison based correlation approaches and at the end of the paper we compared both methods based on different visual quality matrices.

Keywords


Digital Video Watermarking, Copyright Protection, Spatial Domain Watermarking, Threshold Based Correlation, Comparison Based Correlation.