Abstract
With the recent development in multimedia, video has become a powerful medium of information. To exploit the temporal redundancy during video compression, motion vector estimation is required. Now-a-days internet and digital media has become very popular, which made data authentication and data security a challenging task. Digital watermarking was introduced to provide data authentication. Though, it was not enough to prevent the unauthorized access of data by third parties. To prevent unauthorized access, data is encrypted using a secret key known only to the user. This process is known as cryptography. In this paper, an algorithm has been proposed to embed the watermark inside calculated motion vector. The position of watermark bit inside the motion vector will depend on a key provided by user. The correlation values between the four original and recovered experimental video frames are 0.97, 0.98, 0.98 and 0.91 respectively whereas structural similarity index metric (SSIM) between them are 0.97, 0.87, 0.90 and 0.68, respectively. The high correlation values and SSIM shows the effectiveness of the proposed method.
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Acharjee, S., Chakraborty, S., Samanta, S., Azar, A.T., Hassanien, A.E., Dey, N. (2014). Highly Secured Multilayered Motion Vector Watermarking. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_13
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DOI: https://doi.org/10.1007/978-3-319-13461-1_13
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