{"title":"基于多相似度度量的字体比较系统","authors":"Shota Takizawa, Taisei Hoshi, Qiu Chen","doi":"10.5057/ijae.ijae-d-19-00012","DOIUrl":null,"url":null,"abstract":": Digital fonts are widely used in various fields such as documents, webpages, movie subtitles, etc., thus, how to select the best font for the content is an important issue. For the same font, the similarity calculated using different metrics is different. In this paper, we propose a font comparison system that considers different similarities by sorting the similarity of each font. For measuring similarity, we use MSE, PSNR, SSIM, and HaarPSI for image quality assessment, as well as Euclidean distance and cosine similarity in t-SNE to reduce the number of dimensions. We evaluate how the correlation to the font order of each comparison method changes depending on the resolution of the image, the character type, and the comparison method.","PeriodicalId":41579,"journal":{"name":"International Journal of Affective Engineering","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Font Comparison System Based on Multiple Similarity Metrics\",\"authors\":\"Shota Takizawa, Taisei Hoshi, Qiu Chen\",\"doi\":\"10.5057/ijae.ijae-d-19-00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Digital fonts are widely used in various fields such as documents, webpages, movie subtitles, etc., thus, how to select the best font for the content is an important issue. For the same font, the similarity calculated using different metrics is different. In this paper, we propose a font comparison system that considers different similarities by sorting the similarity of each font. For measuring similarity, we use MSE, PSNR, SSIM, and HaarPSI for image quality assessment, as well as Euclidean distance and cosine similarity in t-SNE to reduce the number of dimensions. We evaluate how the correlation to the font order of each comparison method changes depending on the resolution of the image, the character type, and the comparison method.\",\"PeriodicalId\":41579,\"journal\":{\"name\":\"International Journal of Affective Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Affective Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5057/ijae.ijae-d-19-00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Affective Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/ijae.ijae-d-19-00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Font Comparison System Based on Multiple Similarity Metrics
: Digital fonts are widely used in various fields such as documents, webpages, movie subtitles, etc., thus, how to select the best font for the content is an important issue. For the same font, the similarity calculated using different metrics is different. In this paper, we propose a font comparison system that considers different similarities by sorting the similarity of each font. For measuring similarity, we use MSE, PSNR, SSIM, and HaarPSI for image quality assessment, as well as Euclidean distance and cosine similarity in t-SNE to reduce the number of dimensions. We evaluate how the correlation to the font order of each comparison method changes depending on the resolution of the image, the character type, and the comparison method.