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A Robust Video Watermarking Scheme with Squirrel Search Algorithm

Computers, Materials & Continua 2022年第5期71卷 3069-3089页

作者： Aman Bhaskar Chirag Sharma Khalid Mohiuddin Aman Singh Osman A.Nasr Mamdooh Alwetaishi Computer Science and Engineering Lovely Professional UniversityPunjab144411India Department of Management Information Systems King Khalid UniversityGuraigerAbha62529Saudi Arabia Department of Civil Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

Advancement in multimedia technology has resulted in protection against distortion,modification,and *** 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 *** the paper,we proposed a smart technique for video watermarking associating meta-heuristic algorithms along with an embedding method to gain an optimized *** main aim of the optimization algorithm is to obtain solutions with maximum robustness,and which should not exceed the set threshold of *** 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 *** results indicate that quality constraint is fulfilled,and the proposed technique gives improved robustness against different attacks with several quality *** proposed technique could be practically implemented in several multimedia applications such as the films industry,medical imagery,OOT platforms,etc.

关键词： Meta-heuristic algorithm constrain optimization problem fitness fiction frame selection squirrel search algorithm

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