{"title":"室内场景和建筑风格的自动视觉分类","authors":"Berkan Solmaz, Veysel Yücesoy, Aykut Koç","doi":"10.1109/SIU.2017.7960205","DOIUrl":null,"url":null,"abstract":"The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automated visual classification of indoor scenes and architectural styles\",\"authors\":\"Berkan Solmaz, Veysel Yücesoy, Aykut Koç\",\"doi\":\"10.1109/SIU.2017.7960205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.\",\"PeriodicalId\":217576,\"journal\":{\"name\":\"2017 25th Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2017.7960205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2017.7960205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated visual classification of indoor scenes and architectural styles
The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.
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