{"title":"利用相关反馈从多媒体数据库中近似检索","authors":"A. Lelescu, O. Wolfson, Bo Xu","doi":"10.1109/SPIRE.1999.796598","DOIUrl":null,"url":null,"abstract":"We address the problem of retrieving stored multimedia presentations using relevance feedback. We model multimedia presentations using a crisp relational or object oriented database, augmented with a text attribute. We also introduce a language for retrieval by content from such databases. The language is based on fuzzy logic. We also introduce a method for query refinement that uses relevance feedback provided by the user.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Approximate retrieval from multimedia databases using relevance feedback\",\"authors\":\"A. Lelescu, O. Wolfson, Bo Xu\",\"doi\":\"10.1109/SPIRE.1999.796598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of retrieving stored multimedia presentations using relevance feedback. We model multimedia presentations using a crisp relational or object oriented database, augmented with a text attribute. We also introduce a language for retrieval by content from such databases. The language is based on fuzzy logic. We also introduce a method for query refinement that uses relevance feedback provided by the user.\",\"PeriodicalId\":131279,\"journal\":{\"name\":\"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIRE.1999.796598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIRE.1999.796598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approximate retrieval from multimedia databases using relevance feedback
We address the problem of retrieving stored multimedia presentations using relevance feedback. We model multimedia presentations using a crisp relational or object oriented database, augmented with a text attribute. We also introduce a language for retrieval by content from such databases. The language is based on fuzzy logic. We also introduce a method for query refinement that uses relevance feedback provided by the user.