Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Robust Video Watermarking Using Bacteria Foraging Optimization

Authors
Ranjan K. Senapati1, *, P. Bhavya Reddy1, K. Thirumalesh1, E. Vamshi Krishna1
1Department of ECE, VNR VJIET, Hyderabad, Telangana, India
*Corresponding author. Email: ranjan_ks@vnrvjiet.in
Corresponding Author
Ranjan K. Senapati
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_88How to use a DOI?
Keywords
Bacterial foraging optimization; Singular value decomposition; Redundant discrete wavelet transform
Abstract

Multimedia privacy is a significant issue in secret communication and copyright protection. There is always a trade-off between the quality of the information that can be extracted (watermark) and quality of the covered image/video. This study presents a novel technique for determining the ideal scaling factor in video watermarking to provide the best trade-off between the covered video and extracted watermark. The proposed approach uses the bacterial foraging optimization algorithm (BFO) to select an improved scale factor based on the BFO fitness function. The BFO fit-ness function is the reciprocal of the normalized cross correlation of the attacked video's linear combination. Singular value decomposition (SVD) and Redundant discrete wavelet transform (RDWT) are coupled to embed the watermark in video, and an inverse procedure is used to retrieve the watermark. First, the key frames are extracted from the cover video, followed by the strengthened embedding is applied to 1 level RDWT sub bands of extracted key frames. The main element of watermark is added to the RDWT sub-band. The exposition of the suggested tactic is evaluated on Normalized correlation coefficient (NNC), the image fidelity (in SSIM sense) and the PSNR to demonstrate its better functionality.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_88How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ranjan K. Senapati
AU  - P. Bhavya Reddy
AU  - K. Thirumalesh
AU  - E. Vamshi Krishna
PY  - 2023
DA  - 2023/11/09
TI  - Robust Video Watermarking Using Bacteria Foraging Optimization
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 873
EP  - 881
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_88
DO  - 10.2991/978-94-6463-252-1_88
ID  - Senapati2023
ER  -