Logo Design Analysis by Ranking

Takuro Karamatsu, D. Suehiro, S. Uchida
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引用次数: 1

Abstract

In this paper, we analyze logo designs by using machine learning, as a promising trial of graphic design analysis. Specifically, we will focus on favicon images, which are tiny logos used as company icons on web browsers, and analyze them to understand their trends in individual industry classes. For example, if we can catch the subtle trends in favicons of financial companies, they will suggest to us how professional designers express the atmosphere of financial companies graphically. For the purpose, we will use top-rank learning, which is one of the recent machine learning methods for ranking and very suitable for revealing the subtle trends in graphic designs.
从排名分析标志设计
在本文中,我们使用机器学习来分析标志设计,作为图形设计分析的一个有前途的尝试。具体来说,我们将重点关注图标图像,即在网络浏览器上用作公司图标的小徽标,并对其进行分析,以了解其在各个行业类别中的趋势。例如,如果我们能抓住金融公司的图标中微妙的趋势,就会给我们建议专业设计师如何用图形化的方式表达金融公司的氛围。为此,我们将使用top-rank学习,这是最近的机器学习排名方法之一,非常适合揭示平面设计中的微妙趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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