Abstract: This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the the most visually similar fonts.
Apr 7, 2013 · This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the most visually similar fonts ...
ABSTRACT. This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the the most visually similar fonts.
This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the the most visually similar fonts.
Saurabh Kataria, Luca Marchesotti, Florent Perronnin: Font retrieval on a large scale: An experimental study. ICIP 2010: 2177-2180. manage site settings.
Sep 4, 2019 · We propose a novel generative feature learning algorithm that leverages the unique characteristics of fonts. The key idea is that font images ...
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A growing body of research focuses on optimizing retrieval processes to help learners recall information from memory. The context-dependent memory effect ...
In this paper, we study the problem of tag-based font re- trieval. We collect a large-scale font tagging dataset. We propose a joint recognition-retrieval model ...
In Section 3 of our paper, we present a large-scale tag- based font retrieval dataset, which is collected from My-. Fonts. After tag preprocessing, the dataset ...
Sep 6, 2024 · Experimental results show that our method significantly outperforms the state-of-the-art for the important problem of large-scale tag-based font ...