This paper analyzes a large number of logo images from the LLD-logo dataset, by recent deep learning-based techniques, to understand not only design trends of logo images and but also the correlation to their owner company. Especially, we focus on three correlations between logo images and their text areas, between the text areas and the number of followers on Twitter, and between the logo images and the number of followers. Various findings include the weak positive correlation between the text area ratio and the number of followers of the company. In addition, deep regression and deep ranking methods can catch correlations between the logo images and the number of followers.
翻译：本文通过最近的深层次学习技术,分析了LLD-logo数据集中的大量标识图像,不仅了解了标识图像的设计趋势,还了解了与其所有者公司的相关性。特别是,我们侧重于标识图像与其文本领域、文本领域与Twitter上追随者人数、标识图像与追随者人数之间的三个关联。各种发现包括文本区域比例与公司追随者人数之间的积极相关性薄弱。此外,深度回归和深层次排名方法可以抓住标识图像与追随者人数之间的关联。
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