C. Florea, Andrei Racoviteanu, L. Florea, B. Florea
{"title":"用于检索和分类的自动房地产图像分析","authors":"C. Florea, Andrei Racoviteanu, L. Florea, B. Florea","doi":"10.2478/bipie-2022-0009","DOIUrl":null,"url":null,"abstract":"Abstract Nowadays, the real estate sector is also benefiting from the advance of the technology. Digital images accompany announcements advertising for renting or selling a property. Computer vision and image analysis contribute to the understanding of these images towards better consumer experience. In this paper we show how retrieval and description can be used efficiently to isolate cvasi-duplicate images and identify similar examples to the ones that have drawn viewer’s interest. Three problems related to real-estate imaging are identified and solutions are proposed and evaluated on large databases.","PeriodicalId":330949,"journal":{"name":"Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Real-Estate Image Analysis for Retrieval and Classification\",\"authors\":\"C. Florea, Andrei Racoviteanu, L. Florea, B. Florea\",\"doi\":\"10.2478/bipie-2022-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Nowadays, the real estate sector is also benefiting from the advance of the technology. Digital images accompany announcements advertising for renting or selling a property. Computer vision and image analysis contribute to the understanding of these images towards better consumer experience. In this paper we show how retrieval and description can be used efficiently to isolate cvasi-duplicate images and identify similar examples to the ones that have drawn viewer’s interest. Three problems related to real-estate imaging are identified and solutions are proposed and evaluated on large databases.\",\"PeriodicalId\":330949,\"journal\":{\"name\":\"Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/bipie-2022-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/bipie-2022-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Real-Estate Image Analysis for Retrieval and Classification
Abstract Nowadays, the real estate sector is also benefiting from the advance of the technology. Digital images accompany announcements advertising for renting or selling a property. Computer vision and image analysis contribute to the understanding of these images towards better consumer experience. In this paper we show how retrieval and description can be used efficiently to isolate cvasi-duplicate images and identify similar examples to the ones that have drawn viewer’s interest. Three problems related to real-estate imaging are identified and solutions are proposed and evaluated on large databases.