作者: Atul Nautiyal , Killian McCabe , Murhaf Hossari , Soumyabrata Dev , Matthew Nicholson
DOI: 10.1007/978-3-030-10997-4_47
关键词: Online advertising 、 Deep learning 、 Video sequence 、 Multimedia 、 Computer science 、 Photogrammetry 、 The Internet 、 Publicity 、 Artificial intelligence
摘要: With the rapid proliferation of multimedia data in internet, there has been a fast rise creation videos for viewers. This enables viewers to skip advertisement breaks videos, using ad blockers and ‘skip ad’ buttons – bringing online marketing publicity stall. In this paper, we demonstrate system that can effectively integrate new into video sequence. We use state-of-the-art techniques from deep learning computational photogrammetry, effective detection existing adverts, seamless integration adverts sequences. is helpful targeted advertisement, paving path next-gen publicity. Code related paper available at: https://youtu.be/zaKpJZhBVL4.