A Robust and Secure Method of Copyright Protection for Digital Videos using Split Watermark Embedding Algorithm : SWEA

Authors(2) :-Jabir Ali, Prof. S.P. Ghrera

In the current scenario, Copyright Protection of the digital media is a serious issue and watermarking is an important method of protecting the intellectual property and copyright of the digital media. In this paper, we proposed a robust and secure algorithm SWEA (Split Watermark Embedding Algorithm) for digital videos. SWEA has three important parts, first one is splitting of original watermark into small pieces, second is embedding of the small pieces of watermark into the detail coefficients of identical frames (I Frames)of digital video and the third is extracted these small pieces and merge them in an efficient manner. Watermark data is inserted into the detail coefficients in an adaptive manner based on the energy of high frequency. The proposed algorithm has undergone various attacks, such as compression, uniform noise, Gaussian noise frame repetition and frame averaging attacks. The proposed algorithm, sustain all the above attacks and offers improved performance compared with the other methods from the literature.

Authors and Affiliations

Jabir Ali
Computer Science & Engineering Jaypee University of Information Technology Solan, Himachal Pradesh, India
Prof. S.P. Ghrera
Computer Science & Engineering Jaypee University of Information Technology Solan, Himachal Pradesh, India

SWEA, DWT, I-Frame, Detail Coefficient, H.264, MPEG-4., SCD

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 97-103
Manuscript Number : CSEIT174413
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jabir Ali, Prof. S.P. Ghrera, "A Robust and Secure Method of Copyright Protection for Digital Videos using Split Watermark Embedding Algorithm : SWEA ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.97-103, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174413

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