Font Style that Fits an Image – Font Generation Based on Image Context

Miyazono, Taiga; Iwana, Brian Kenji; Haraguchi, Daichi; Uchida, Seiichi

doi:10.1007/978-3-030-86334-0_37

Search citation statements

Order By: Relevance

Paper Sections

Select...

Concluding Remarks Limitations and Future Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further studies could examine the impact of different design elements on children's reading experiences by incorporating additional features of book covers (e.g. font [22] or layout) into the analysis to better understand how these elements contribute to the appeal of a book cover. Additionally, this work could also serve as a template for cover exploration for other user groups like adults [38] or even be applied to completely different areas of recommendation, such as analyzing the appeal of movie [6] or music album covers [35].…”

Section: Concluding Remarks Limitations and Future Workmentioning

confidence: 99%

Covering Covers: Characterization Of Visual Elements Regarding Sleeves

Beyhan,

Pera

2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

View full text Add to dashboard Cite

The aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group.

show abstract

Section: Concluding Remarks Limitations and Future Workmentioning

confidence: 99%