A Robust Video Watermarking Scheme with Squirrel Search Algorithm  

作　　者：Aman Bhaskar Chirag Sharma Khalid Mohiuddin Aman Singh Osman A.Nasr Mamdooh Alwetaishi 

机构地区：[1]Computer Science and Engineering,Lovely Professional University,Punjab,144411,India [2]Department of Management Information Systems,King Khalid University,Guraiger,Abha,62529,Saudi Arabia [3]Department of Civil Engineering,College of Engineering,Taif University,Taif,21944,Saudi Arabia

出　　处：《Computers, Materials & Continua》2022年第5期3069-3089,共21页计算机、材料和连续体（英文）

摘　　要：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.

关 键 词：Meta-heuristic algorithm constrain optimization problem fitness fiction frame selection squirrel search algorithm 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]