{"title":"Pictogram Generator from Korean Sentences using Emoticon and Saliency Map","authors":"Jihun Kim, A. Ojha, Yongsik Jin, Minho Lee","doi":"10.1145/2814940.2814991","DOIUrl":null,"url":null,"abstract":"Picture is worth a thousand words. With changing life styles and technology advancement, visual or pictorial communication is preferred. We present a system to generate a pictogram for simple Korean sentences. The final pictogram integrates information about the object (about which something is said), the background (the environment) and the emotion of the user. The proposed system is divided into two parts. First is the registration part, which saves personal information and face image of the user. The second part searches corresponding images for words, downloads them and finally integrates all of them together to along with user's emotion to generate a single pictogram.","PeriodicalId":427567,"journal":{"name":"Proceedings of the 3rd International Conference on Human-Agent Interaction","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Human-Agent Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2814940.2814991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Picture is worth a thousand words. With changing life styles and technology advancement, visual or pictorial communication is preferred. We present a system to generate a pictogram for simple Korean sentences. The final pictogram integrates information about the object (about which something is said), the background (the environment) and the emotion of the user. The proposed system is divided into two parts. First is the registration part, which saves personal information and face image of the user. The second part searches corresponding images for words, downloads them and finally integrates all of them together to along with user's emotion to generate a single pictogram.