An Advert Creation System for Next-Gen Publicity

TL;DR

This paper presents a system that leverages deep learning and photogrammetry to detect existing ads in videos and seamlessly insert new advertisements, enhancing targeted marketing and overcoming ad-blocking challenges.

Contribution

It introduces a novel system combining deep learning and photogrammetry for effective ad detection and integration in videos, advancing next-generation online publicity methods.

Findings

High accuracy in ad detection within videos

Seamless integration of new ads without disrupting video quality

Potential for improved targeted advertising effectiveness

Abstract

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.