Offline virtual advertisement replacement in sports from uncalibrated video**

体育运动中的离线虚拟广告替换为未经校准的视频**

• 批准号: 537359-2018
• 负责人: Bouguila, Nizar
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=645956
• 关键词: Offline; virtual; advertisement; replacement; sports

In this project, we are going to perform offline or highlight sport advertisement replacement purely from video. The reason for such a replacement within commercial contents could be focusing on the programs which are more tightly targeted to the viewers. The new advertisement can be more suitable to the benefits of the viewers and it can enhance the value of the commercial content for the distributers. The challenge is that so many commercial visual contents are similar to the regular video and it would be really hard to detect the advertisement content purely from the video. Moreover, there would not possibly be enough information regarding the original broadcast advertisement and their insertion time slots are not usually available. In this regard, in order to overcome the mentioned challenge, the idea is to apply unsupervised methodologies such as autoencoder regarding offline visual advertisement detection considering gradient-based optimization.

在这个项目中，我们将执行离线或突出体育广告替换纯粹从视频。在商业内容中进行这种替换的原因可能是集中在更紧密地针对观众的节目上。新的广告可以更适合观众的利益，它可以提高分销商的商业内容的价值。挑战在于，如此多的商业视觉内容与常规视频相似，并且纯粹从视频中检测广告内容将非常困难。此外，不可能存在关于原始广播广告的足够信息，并且它们的插入时隙通常不可用。在这方面，为了克服所提到的挑战，想法是应用无监督的方法，例如关于考虑基于梯度的优化的离线视觉广告检测的自动编码器。