Back to Search
Start Over
FontMatcher
- Source :
- IUI
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- One of the important aspects in graphic design is choosing the font of the caption that matches aesthetically the associated image. To obtain a good match, users would exhaustively examine a long font list requiring them a substantial effort. This paper presents FontMatcher, which supports users to design digital graphic works harmoniously pairing fonts with an image. The system provides three features, recommendation, explaination and feedback. If a warm feeling image is given as input, the system recommends warm feeling fonts, and then explains what is the distinguishing features of the recommendation, e.g. a cursive shape. Users can also provide feedback to find fonts which correspond to their intention. Our evaluation results show that the recommended fonts scored better than selected fonts by novices and provides competing results with the ones chosen by experienced graphic designers. The system also provides explanations that help increasing the reliability of the recommended results.
- Subjects :
- Engineering drawing
business.industry
Computer science
media_common.quotation_subject
020207 software engineering
02 engineering and technology
Graphic design
Image (mathematics)
Feeling
Font
0202 electrical engineering, electronic engineering, information engineering
Associated image
020201 artificial intelligence & image processing
business
Cursive
Reliability (statistics)
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 23rd International Conference on Intelligent User Interfaces
- Accession number :
- edsair.doi...........0b86b633bc4fc418f014c7b2fb408de2