{"title":"基于范例的经验转移","authors":"Paridhi Maheshwari, Nitish Bansal, Surya Dwivedi, Rohan Kumar, Pranav Maneriker, Balaji Vasan Srinivasan","doi":"10.1145/3301275.3302300","DOIUrl":null,"url":null,"abstract":"Banners are present in several forms and a person might be inspired by one or more of these. However, designing banners is a non-trivial task, especially for novices. Starting from a blank canvas can often be overwhelming, and exploring alternatives is time-consuming. In this paper, we propose an automatic approach to transfer a novice user's content into an example banner. Our algorithm begins with extracting the template of the example banner via a semantic segmentation approach. This is followed by an energy-based optimization framework to combine multiple design elements and arrive at an optimal layout. A crowd-sourced experiment comparing our automatic results against banners designed by creative professionals indicates the viability of the proposed work.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Exemplar based experience transfer\",\"authors\":\"Paridhi Maheshwari, Nitish Bansal, Surya Dwivedi, Rohan Kumar, Pranav Maneriker, Balaji Vasan Srinivasan\",\"doi\":\"10.1145/3301275.3302300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Banners are present in several forms and a person might be inspired by one or more of these. However, designing banners is a non-trivial task, especially for novices. Starting from a blank canvas can often be overwhelming, and exploring alternatives is time-consuming. In this paper, we propose an automatic approach to transfer a novice user's content into an example banner. Our algorithm begins with extracting the template of the example banner via a semantic segmentation approach. This is followed by an energy-based optimization framework to combine multiple design elements and arrive at an optimal layout. A crowd-sourced experiment comparing our automatic results against banners designed by creative professionals indicates the viability of the proposed work.\",\"PeriodicalId\":153096,\"journal\":{\"name\":\"Proceedings of the 24th International Conference on Intelligent User Interfaces\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th International Conference on Intelligent User Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3301275.3302300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th International Conference on Intelligent User Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3301275.3302300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Banners are present in several forms and a person might be inspired by one or more of these. However, designing banners is a non-trivial task, especially for novices. Starting from a blank canvas can often be overwhelming, and exploring alternatives is time-consuming. In this paper, we propose an automatic approach to transfer a novice user's content into an example banner. Our algorithm begins with extracting the template of the example banner via a semantic segmentation approach. This is followed by an energy-based optimization framework to combine multiple design elements and arrive at an optimal layout. A crowd-sourced experiment comparing our automatic results against banners designed by creative professionals indicates the viability of the proposed work.