An Advert Creation System for Next-Gen Publicity

Autor:	Nautiyal, Atul, McCabe, Killian, Hossari, Murhaf, Dev, Soumyabrata, Nicholson, Matthew, Conran, Clare, McKibben, Declan, Tang, Jian, Wei, Xu, Pitie, Francois
Rok vydání:	2018
Předmět:	Computer Science - Multimedia
Druh dokumentu:	Working Paper
Popis:	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. Comment: Published in 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1808.00163 Zobrazit plný text záznamu View this record from Arxiv