DWT and GA-PSO Based Novel Watermarking for Videos Using Audio Watermark

• Published in: Advances in Swarm Intelligence pp. 212 - 220
• Main Authors: Agrawal, Puja, Khurshid, Aleefia
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Bit Plane Slicing; GA-PSO; Robustness; Transparency; Watermarking
• ISBN: 9783319118963; 331911896X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-11897-0_25

This paper presents a digital video watermarking scheme that can embed invisible and robust watermark information into the video streams of MPEG-1, MPEG-2, H.264/AVC, MPEG-4 standards. Watermark embedding process is in Discrete Wavelet Domain. Trade off between transparency and robustness is considered as optimization problem and is solved by Genetic Algorithm - Particle Swarm Optimization (GA-PSO) based hybrid optimization technique. An audio signal is converted into 9 bit planes by using bit plane slicing and then embedded into the frames of video signals as watermark. The performance evaluation results based on the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) confirm that the proposed video processing method shows reliable improvements for various sequences compared to existing ones for geometrical attacks like rotation and cropping.