International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

Frequency: 12
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 Volume 5, Issue 2 (February 2018), Pages: 148-160

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 Original Research Paper

 Title: A new approach for scene-based digital video watermarking using discrete wavelet transforms

 Author(s): Dolley Shukla *, Manisha Sharma

 Affiliation(s):

 Department of Electronics and Telecommunication Engineering, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India

 https://doi.org/10.21833/ijaas.2018.02.022

 Full Text - PDF          XML

 Abstract:

This paper presents a scene based video watermarking technique using discrete wavelet transform in the application of video copyright protection. The proposed technique combines the successive estimation of statistical measure (SESAME) technique with video watermarking. In this proposed technique, first level decomposition using 2D-discrete wavelet transform (DWT) of LL sub-band of the cover video frames is considered for embedding. To reduce the computational time, watermark image is inserted only in the scene change frames. To detect the scene changed frame, successive estimation of the statistical measure and HiBiSLI algorithm based scene change detector is designed, which is the most novel-part of the work. In the case of watermarking, the correlation between successive frames is an ideal measure for identifying scene change. The performance shows overall improvement in the measured value of metrics like mean square error, peak signal to noise ratio, normalized correlation, and structural similarity index and bit error rate for embedding using level 1 decomposition. The proposed system achieves robustness against image processing attacks, geometrical attacks, jpeg compression and different video attacks. Further performance enhancements have achieved by embedding at level-2 decomposition. The empirical result suggests that increasing number of levels can improve the performance of the system. Improvement in the robustness and transparency is calculated in terms of bit error rate, normalized correlation and SSIM. Finally, the results are discussed in light of some recently reported studies and have proven a non-blind, robust and imperceptible watermarking system. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Video, Video watermarking, Estimation of statistical measure, Sub-bands, Scene change detector

 Article History: Received 29 March 2017, Received in revised form 20 December 2017, Accepted 25 December 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.02.022

 Citation:

 Shukla D and Sharma M (2018). A new approach for scene-based digital video watermarking using discrete wavelet transforms. International Journal of Advanced and Applied Sciences, 5(2): 148-160

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I2/Shukla.html

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