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, explanation 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.

Fontmatcher: Font image paring for harmonious digital graphic design / Choi, Saemi; Aizawa, K.; Sebe, N.. - (2018), pp. 37-41. (Intervento presentato al convegno 23rd ACM International Conference on Intelligent User Interfaces, IUI 2018 tenutosi a Tokyo, Japan nel March 2018) [10.1145/3172944.3173001].

Fontmatcher: Font image paring for harmonious digital graphic design

Choi, Saemi;N. Sebe
2018-01-01

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, explanation 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.
2018
International Conference on Intelligent User Interfaces, Proceedings IUI
Choi, Saemi
New York
Association for Computing Machinery
9781450349451
Choi, Saemi; Aizawa, K.; Sebe, N.
Fontmatcher: Font image paring for harmonious digital graphic design / Choi, Saemi; Aizawa, K.; Sebe, N.. - (2018), pp. 37-41. (Intervento presentato al convegno 23rd ACM International Conference on Intelligent User Interfaces, IUI 2018 tenutosi a Tokyo, Japan nel March 2018) [10.1145/3172944.3173001].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/215284
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