识别品牌标志从视频馈送

Pranshu Garg, Anmol Tripathi, A. Sahani
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引用次数: 0

摘要

在本文中,我们尝试建立一个基于Yolo算法的机器学习模型来计算板球比赛等体育赛事直播中赞助广告的品牌知名度,并基于品牌知名度计算出有效准确的广告成本。为了计算品牌可见性,我们将自己限制为仅在相机上可见的品牌标识。根据我们的分析,我们观察到在一场板球比赛中,品牌a的知名度为26%,而品牌B的知名度为67%,但广告公司对品牌a的收费远高于品牌B,因此基于机器学习的分析工具在有效计算广告成本时非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Brand Logos from Video Feed
In this paper we have made an attempt to build a Machine Learning model based on Yolo algorithm to calculate the brand visibility of sponsored advertisements during live sports events such as cricket matches and based on brand visibility, we have calculated effective and accurate advertising cost. To calculate the brand visibility, we have restricted ourselves to brand logos only which are visible on cameras. As a result of our analysis, we observed that in a cricket match Brand A had 26% visibility while brand B had 67% visibility and yet brand A was charged much higher than brand B by the advertising companies and hence machine learning based analytical tools can be of great use while effectively calculating the advertising costs.
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