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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.

This study draws on networked framing and intermedia network agenda-setting theories to examine how different informational actors have framed the March for Our Lives gun control movement in 2018. This study uses the Social Science One Facebook URLs share dataset to compare network-agenda setting of different media types including offline news media, partisan sites, nonpartisan sites, advocacy/activism organizations, and social media/aggregate services. Results suggest that news media's framing was the richest and most dynamic, suggesting their important roles in setting the gun issue as a salient public agenda. Meanwhile, emerging media expanded the scope of framing by covering race, gender, and equity issues into gun politics. The movement/activist organizational actors showed the least similarity to other media types, inviting further questions on the role of movement/activist actors in shaping public attention and agendas in the process.