  With the rapid proliferation of multimedia data in the internet, there has
been a fast rise in the creation of videos for the viewers. This enables the
viewers to skip the advertisement breaks in the videos, using ad blockers and
'skip ad' buttons -- bringing online marketing and publicity to a stall. In
this paper, we demonstrate a system that can effectively integrate a new
advertisement into a video sequence. We use state-of-the-art techniques from
deep learning and computational photogrammetry, for effective detection of
existing adverts, and seamless integration of new adverts into video sequences.
This is helpful for targeted advertisement, paving the path for next-gen
publicity.
