Analyzing Font Style Usage and Contextual Factors in Real Images

概要

There are various font styles in the world. Different styles give different impressions and readability. This paper analyzes the relationship between font styles and contextual factors that might affect font style selection with large-scale datasets. For example, we will analyze the relationship between font style and its surrounding object (such as “bus”) by using about 800,000 words in the Open Images dataset. We also use a book cover dataset to analyze the relationship between font styles with book genres. Moreover, the meaning of the word is assumed as another contextual factor. For these numeric analyses, we utilize our own font-style feature extraction model and word2vec. As a result of co-occurrence-based relationship analysis, we found several instances of specific font styles being used for specific contextual factors.

論文種別
発表文献
Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR 2023)
早志英朗
早志英朗
准教授

深層学習やベイズ推定を基盤とした機械学習アルゴリズムの開発を中心に、生体信号解析、医用画像処理などの応用研究に従事。