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A Robust Video Watermarking Scheme with Squirrel Search Algorithm
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作者 Aman Bhaskar Chirag Sharma +3 位作者 khalid mohiuddin Aman Singh Osman A.Nasr Mamdooh Alwetaishi 《Computers, Materials & Continua》 SCIE EI 2022年第5期3069-3089,共21页
Advancement in multimedia technology has resulted in protection against distortion,modification,and piracy.For implementing such protection,we have an existing technique called watermarking but obtaining desired disto... Advancement in multimedia technology has resulted in protection against distortion,modification,and piracy.For implementing such protection,we have an existing technique called watermarking but obtaining desired distortion level with sufficient robustness is a challenging task for watermarking in multimedia applications.In the paper,we proposed a smart technique for video watermarking associating meta-heuristic algorithms along with an embedding method to gain an optimized efficiency.The main aim of the optimization algorithm is to obtain solutions with maximum robustness,and which should not exceed the set threshold of quality.To represent the accuracy of the proposed scheme,we employ a popular video watermarking technique(DCT domain)having frame selection and embedding method for watermarking.A squirrel search algorithm is chosen as a meta-heuristic algorithm that utilizes the stated fitness function.The results indicate that quality constraint is fulfilled,and the proposed technique gives improved robustness against different attacks with several quality thresholds.The proposed technique could be practically implemented in several multimedia applications such as the films industry,medical imagery,OOT platforms,etc. 展开更多
关键词 Meta-heuristic algorithm constrain optimization problem fitness fiction frame selection squirrel search algorithm
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