{"title":"IFQ:用于基于对象的媒体检索的可视化查询界面和查询生成器","authors":"Wen-Syan Li, K. Candan, K. Hirata, Y. Hara","doi":"10.1109/MMCS.1997.609635","DOIUrl":null,"url":null,"abstract":"There are two major directions for image retrieval system development. The first direction is the direct manipulation of information using query languages, which are precise to computers but not user friendly. The second direction is the development of natural interfaces, such as query by image example. The latter approach has the advantage of better query visualization, but it usually yields a low precision because users' drawings may not be precise. IFQ (In Frame Query) is a visual user query interface for object-based media retrieval systems. It aims at not only providing a natural visual query interface but also supporting precise direct manipulation through automated query generation. Furthermore, IFQ gives users the flexibility of using combinations of semantic expressions, conceptual definitions, sketch, and image examples to pose queries.","PeriodicalId":302885,"journal":{"name":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"IFQ: a visual query interface and query generator for object-based media retrieval\",\"authors\":\"Wen-Syan Li, K. Candan, K. Hirata, Y. Hara\",\"doi\":\"10.1109/MMCS.1997.609635\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are two major directions for image retrieval system development. The first direction is the direct manipulation of information using query languages, which are precise to computers but not user friendly. The second direction is the development of natural interfaces, such as query by image example. The latter approach has the advantage of better query visualization, but it usually yields a low precision because users' drawings may not be precise. IFQ (In Frame Query) is a visual user query interface for object-based media retrieval systems. It aims at not only providing a natural visual query interface but also supporting precise direct manipulation through automated query generation. Furthermore, IFQ gives users the flexibility of using combinations of semantic expressions, conceptual definitions, sketch, and image examples to pose queries.\",\"PeriodicalId\":302885,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1997.609635\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1997.609635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
摘要
图像检索系统的发展主要有两个方向。第一个方向是使用查询语言直接操作信息,这对计算机来说是精确的,但对用户不友好。第二个方向是开发自然接口,例如通过图像示例进行查询。后一种方法具有更好的查询可视化的优点,但它通常产生较低的精度,因为用户的绘图可能不精确。IFQ (In Frame Query)是面向对象媒体检索系统的可视化用户查询界面。它不仅旨在提供一个自然的可视化查询界面,而且还通过自动查询生成支持精确的直接操作。此外,IFQ为用户提供了使用语义表达式、概念定义、草图和图像示例组合来提出查询的灵活性。
IFQ: a visual query interface and query generator for object-based media retrieval
There are two major directions for image retrieval system development. The first direction is the direct manipulation of information using query languages, which are precise to computers but not user friendly. The second direction is the development of natural interfaces, such as query by image example. The latter approach has the advantage of better query visualization, but it usually yields a low precision because users' drawings may not be precise. IFQ (In Frame Query) is a visual user query interface for object-based media retrieval systems. It aims at not only providing a natural visual query interface but also supporting precise direct manipulation through automated query generation. Furthermore, IFQ gives users the flexibility of using combinations of semantic expressions, conceptual definitions, sketch, and image examples to pose queries.