{"title":"An image retrieval system for distributed environments","authors":"M. Nabil, J. Shepherd, A. Ngu","doi":"10.1109/RIDE.1998.658280","DOIUrl":null,"url":null,"abstract":"We describe a prototype image retrieval system for distributed environments based on 2D projection interval relationships (2D-PIR). The system transforms an image to a symbolic representation that describes spatial relationships among objects in the image. The image database consists of three parts: the real image repository (which is distributed) and the symbolic and iconic image repositories (which are stored locally). We describe the result of experiments on a small image database which compare the performance of our system against a keyword-based retrieval system and also against other content-based image retrieval systems.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIDE.1998.658280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We describe a prototype image retrieval system for distributed environments based on 2D projection interval relationships (2D-PIR). The system transforms an image to a symbolic representation that describes spatial relationships among objects in the image. The image database consists of three parts: the real image repository (which is distributed) and the symbolic and iconic image repositories (which are stored locally). We describe the result of experiments on a small image database which compare the performance of our system against a keyword-based retrieval system and also against other content-based image retrieval systems.