Optimization based interesting region identification for video watermarking

• Published in: Journal of information security and applications Vol. 49; p. 102393
• Main Authors: Wagdarikar, Amir M. Usman, Senapati, Ranjan K.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2019
• Subjects: Chronological concept; Digital video watermarking; Embedding; MS algorithm; Multimedia; Multimedia; Embedding; Digital video watermarking; Chronological concept; MS algorithm
• ISSN: 2214-2126
• DOI: 10.1016/j.jisa.2019.102393

•Development of Chronological-MS, by altering the update process of MS algorithm using an idea, named chronological, for determining the suitable regions for embedding the message in the video frame.•The performance of the proposed Wavelet + Chronological-MS is analyzed based on evaluation metrics, correlation coefficient and PSNR, showing superior performance with value 1.00 for correlation coefficient and 98.741 dB for PSNR. The advancements in multimedia watermarking technologies have gained lots of attention in the past few years. A digital video watermarking is the data embedded in the video and sent to the recipient. Privacy is considered as the major issue in digital media while hiding the data by maintaining the video quality. This paper presents an optimization algorithm for video watermarking based on interesting regions. Here, the optimal regions for the video watermarking are selected using the proposed Chronological-Moth Search (Chronological-MS) approach, which is established by modifying the Moth Search (MS) algorithm using chronological concept. The employed fitness function contains cost function, which uses several parameters, like energy, edge, pixel intensity, brightness, and coverage. At first, the input video file is subjected to feature extraction, and the extracted features are employed for selecting the optimal regions using the proposed Chronological-MS. After that, the wavelet transform is given to the original image to obtain the wavelet coefficients. Here, the privacy message is divided into binary images using bit plane technique. Thus, the embedding process is carried out for hiding the secret message with the use of interesting regions identified using the proposed Chronological-MS algorithm and is retrieved at the extraction phase. The performance of the proposed Chronological-MS shows superior performance with correlation coefficient and PSNR of 1.00 and 98.741 dB, respectively.