Digital Watermark is class of marker or symbol secretly embedded in a multimedia signal such as Audio, Image or Video. It is used to identify the ownership of the multimedia signal. Video watermarking is an emerging area for various applications like copy control broadcast monitoring, video authentication, copyright protection and enhanced video coding. The main objective of this paper is to present survey and comparisons of various available techniques on video watermarking based on copyright protection and identification. Comparative study of various technologies gives the significant information about the PSNR, payload, quality factor and also the various attacks used in video watermarking techniques. The best techniques in various scenarios are discussed in this paper which will help the research scholars in field of video watermarking.

Digital raw images obtained from the data set of various organizations require authentication, copyright protection, and security with simple processing. New Euclidean space point’s algorithm is proposed to authenticate the images by embedding binary logos in the digital images in the spatial domain. Diffie–Hellman key exchange protocol is implemented along with the Euclidean space axioms to maintain security for the proposed work. The proposed watermarking methodology is tested on the standard set of raw grayscale and RGB color images. The watermarked images are sent in the email, WhatsApp, and Facebook and analyzed. Standard watermarking attacks are also applied to the watermarked images and analyzed. The finding shows that there are no image distortions in the communication medium of email and WhatsApp. But in the Facebook platform, raw images experience compression and observed exponential noise on the digital images. The authentication and copyright protection is tested from the processed Facebook images, it is found that the embedded logo could be recovered and seen with added noise distortions. So the proposed method offers authentication and security with compression attacks. Similarly, it is found that the proposed methodology is robust to JPEG compression, image tampering attacks like collage attack, image cropping, rotation, salt, and pepper noise, sharpening filter, semi-robust to Gaussian filtering, and image resizing, and fragile to other geometrical attacks. The receiver operating characteristics (ROC) curve is drawn and found that the area under the curve is approximately equal to unity and restoration accuracy of [67 to 100]% for various attacks.