{"title":"利用模糊约束推理在图像区域标注中的空间上下文","authors":"C. Saathoff, Steffen Staab","doi":"10.1109/WIAMIS.2008.34","DOIUrl":null,"url":null,"abstract":"We present an approach for integrating explicit knowledge about the spatial context of objects into image region labelling. Our approach is based on spatial prototypes that represent the typical arrangement of objects in images. We use Fuzzy Constraint Satisfaction Problems as the underlying formal model for producing a labelling that is consistent with the spatial constraints of prototypes.","PeriodicalId":325635,"journal":{"name":"2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Exploiting Spatial Context in Image Region Labelling Using Fuzzy Constraint Reasoning\",\"authors\":\"C. Saathoff, Steffen Staab\",\"doi\":\"10.1109/WIAMIS.2008.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an approach for integrating explicit knowledge about the spatial context of objects into image region labelling. Our approach is based on spatial prototypes that represent the typical arrangement of objects in images. We use Fuzzy Constraint Satisfaction Problems as the underlying formal model for producing a labelling that is consistent with the spatial constraints of prototypes.\",\"PeriodicalId\":325635,\"journal\":{\"name\":\"2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIAMIS.2008.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIAMIS.2008.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting Spatial Context in Image Region Labelling Using Fuzzy Constraint Reasoning
We present an approach for integrating explicit knowledge about the spatial context of objects into image region labelling. Our approach is based on spatial prototypes that represent the typical arrangement of objects in images. We use Fuzzy Constraint Satisfaction Problems as the underlying formal model for producing a labelling that is consistent with the spatial constraints of prototypes.