A new approach for video watermarking
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Digital Watermarking plays a significant role in data authentication and proof of ownership. In this study, a novel approach for Video Watermarking is proposed, in which the Genetic Algorithm is used to optimize the parameters of digital video watermarking scheme. One of the most straightforward watermarking method is LSB (Least Signifiant Bit) in which watermark is embedded into least significant bit of host media. Our work is based on LSB watermarking method. Although, standard LSB watermarking is good choice for data embedding, it is not robust against bit-deletion, gaussian, median filtering attacks. We use genetic algorithm to select the most optimum bit plane during the embedding process and the watermark is embedded into optimum (6th,7th or 8th) bit of host video frames, to overcome above mentioned attacks' degradations. Decision is done with respect to Peak Signal Noise Ratio (PSNR) of watermarked frame and Normalized Cross Correlation (NCC) values of the original and extracted watermark. Experiments are performed for various watermarks, host video, and a set of Genetic Algorithm parameters, such as population size, number of iteration, tournament range. Results suggest that modified LSB watermarking scheme is more robust to bit-plane deletion, gaussian, median filtering and other similar attacks.
Author
Alısher Abdulkhaev
Institution
How to Cite
Alısher Abdulkhaev (Master Thesis). A new approach for video watermarking, 2016, Gaziantep University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gaziantep University
- Conceptual design methodology for foldable shelters(2019)
- Police profession and power to use force(2023)
- Chronic effect of jumping rope exercises on inspiratory and expiratory respiratory muscles(2024)
- Pilton (pastinaca armena) katkılı beyaz peynirin duyusal ve kimyasal özelliklerinin incelenmesi(2019)
- Analysis of tooth stiffness of spur gears by finite element method(2017)
- Constructions of popular culture within viral advertising: Reception analysis of Eti Benim'O virals(2021)