An Advert Creation System for Next-Gen Publicity
This addresses the issue of stalled online marketing for advertisers and platforms, but it appears incremental as it builds on existing techniques.
The paper tackles the problem of viewers skipping ads in videos by developing a system that integrates new advertisements into video sequences, using deep learning and computational photogrammetry for detection and seamless integration.
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.