Dynamically selected watermark insertion using machine learning

Watermarking is a process of embedding one image into another image, used to protect the image from copyright infringement; the main aim of this watermarking is to provide ownership assertion- only rightful owner can extract the watermark from image to prove the ownership. Day-to-day the attacks on digital content (like images) are increasing, but still the same traditional watermarking process is used to for content protection. In traditional watermark embedding process static watermarks are used at the source which may lead to compromise of algorithm. To avoid this, in this paper a very new way of watermarking is introduced with the help of object detection, along with the concept of content-related watermarking by dynamically selecting the watermark image.