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Journal of Intelligent Systems

Editor-in-Chief: Fleyeh, Hasan

4 Issues per year


CiteScore 2017: 0.96

SCImago Journal Rank (SJR) 2017: 0.193
Source Normalized Impact per Paper (SNIP) 2017: 0.481

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2191-026X
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Volume 27, Issue 1

Issues

A Novel Scene-Based Video Watermarking Scheme for Copyright Protection

Dolley Shukla
  • Corresponding author
  • Department of Information Technology, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India
  • Email
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/ Manisha Sharma
  • Department of Electronics and Telecommunication, Bhilai Institute of Technology, Durg, Chhattisgarh, India
  • Other articles by this author:
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Published Online: 2017-06-30 | DOI: https://doi.org/10.1515/jisys-2017-0039

Abstract

Many illegal copies of original digital videos are being made, as they can be replicated perfectly through the Internet. Thus, it is extremely necessary to protect the copyrights of the owner and prevent illegal copying. This paper presents a novel approach to digital video watermarking for copyright protection using two different algorithms, whereby successive estimation of a statistical measure was used to detect scene boundaries and watermark was embedded in the detected scenes with discrete wavelet transform. Haar wavelet was used for decomposition. For embedding, the approaches used were (i) the detailed subband (LH subband) and (ii) the approximate subband (LL subband) of the cover video. Imperceptibility, robustness, and channel capacity were measured using both algorithms. The system was tested for robustness in the presence of 15 different attacks of five different categories, and, under multiple attacks, ensured that a wide spectrum of attack analysis has been done. The performance metrics measured included mean square error, peak signal-to-noise ratio, structural similarity index, normalized correlation, and bit error rate. The experimental results demonstrated the better visual imperceptibility and improved performance in terms of normalized correlation and bit error rate with embedding using the LL subband. Comparative analysis with existing schemes proved the improved robustness, better imperceptibility, and reduced computational time of both the proposed schemes.

Keywords: Video watermarking; scene change detector; frame; histogram difference; robustness; watermark attack

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About the article

Corresponding author: Dolley Shukla, Associate Professor, Department of Information Technology, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India


Received: 2017-02-01

Published Online: 2017-06-30

Published in Print: 2018-01-26


Citation Information: Journal of Intelligent Systems, Volume 27, Issue 1, Pages 47–66, ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, DOI: https://doi.org/10.1515/jisys-2017-0039.

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