Analyzing Font Style Usage and Contextual Factors in Real Images
This work addresses the problem of font style selection in design and image analysis for designers and researchers, but it is incremental as it applies existing methods to new data.
The paper tackled the problem of understanding how font styles are used in real images by analyzing their relationships with contextual factors like surrounding objects and book genres, using large-scale datasets such as Open Images and a book cover dataset, and found specific instances of font styles being associated with particular contexts.
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.