Abstract
This paper illustrates a hybrid algorithm that is amalgamation of two bio-inspired algorithms such as Cuckoo search and Firefly optimization algorithms are incorporated to find optimize scaling factor intended for the watermark insertion. This combination is considered as one of the utmost usages in the recent past. The foremost benefit is obtained by combining several features of both the algorithms. SSIM and BER are used to evaluate fitness function in this optimization technique. Contemplating above opportunities, a novel video watermarking method is proposed by using CS-FA in DWT, SVD domain. Besides, the watermark security is also improvised using secret sharing method. Experimental tests reveal that the video watermarking approach suggested has a reasonable imperceptibility and an improved robustness against attacks.
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Bethu, S., Bhargavi Latha, S., Kumar Kanaparthi, S., Abdus Subhahan, D., Vani, G. (2023). CS-FA Nature Inspired Algorithm-Based Robust Video Watermarking. In: Reddy, A.B., Nagini, S., Balas, V.E., Raju, K.S. (eds) Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_16
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DOI: https://doi.org/10.1007/978-981-19-9228-5_16
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