{"title":"有效的多媒体检索","authors":"R. Aygun, Wanda Benesova","doi":"10.1109/MIPR.2018.00019","DOIUrl":null,"url":null,"abstract":"Multimedia information retrieval has been a challenging problem due to the diversity and size of multimedia data along with difficulty of expressing desired queries. This paper highlights key points of multimedia retrieval approaches that work. After providing discussion on the success of multimedia information retrieval, the paper analyzes the problem of retrieval challenge (i.e., the capability of retrieving every multimedia object) and proposes page-oriented precision as an alternative evaluation measure for the performance of multimedia information systems.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Multimedia Retrieval that Works\",\"authors\":\"R. Aygun, Wanda Benesova\",\"doi\":\"10.1109/MIPR.2018.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimedia information retrieval has been a challenging problem due to the diversity and size of multimedia data along with difficulty of expressing desired queries. This paper highlights key points of multimedia retrieval approaches that work. After providing discussion on the success of multimedia information retrieval, the paper analyzes the problem of retrieval challenge (i.e., the capability of retrieving every multimedia object) and proposes page-oriented precision as an alternative evaluation measure for the performance of multimedia information systems.\",\"PeriodicalId\":320000,\"journal\":{\"name\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIPR.2018.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIPR.2018.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multimedia information retrieval has been a challenging problem due to the diversity and size of multimedia data along with difficulty of expressing desired queries. This paper highlights key points of multimedia retrieval approaches that work. After providing discussion on the success of multimedia information retrieval, the paper analyzes the problem of retrieval challenge (i.e., the capability of retrieving every multimedia object) and proposes page-oriented precision as an alternative evaluation measure for the performance of multimedia information systems.