An Advert Creation System for 3D Product Placements

Autor:	Bacher, Ivan, Javidnia, Hossein, Dev, Soumyabrata, Agrahari, Rahul, Hossari, Murhaf, Nicholson, Matthew, Conran, Clare, Tang, Jian, Song, Peng, Corrigan, David, Pitié, François
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Multimedia
Druh dokumentu:	Working Paper
Popis:	Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising. The common contextual advertising platforms utilize the information provided by users to integrate 2D visual ads into videos. The existing platforms face many technical challenges such as ad integration with respect to occluding objects and 3D ad placement. This paper presents a Video Advertisement Placement & Integration (Adverts) framework, which is capable of perceiving the 3D geometry of the scene and camera motion to blend 3D virtual objects in videos and create the illusion of reality. The proposed framework contains several modules such as monocular depth estimation, object segmentation, background-foreground separation, alpha matting and camera tracking. Our experiments conducted using Adverts framework indicates the significant potential of this system in contextual ad integration, and pushing the limits of advertising industry using mixed reality technologies. Comment: Published in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.15131 Zobrazit plný text záznamu View this record from Arxiv