RelaxImage:一个基于查询松弛的跨媒体元搜索引擎,用于从Web中搜索图像

Akihiro Kuwabara, Katsumi Tanaka
{"title":"RelaxImage:一个基于查询松弛的跨媒体元搜索引擎,用于从Web中搜索图像","authors":"Akihiro Kuwabara, Katsumi Tanaka","doi":"10.1109/ICDE.2005.122","DOIUrl":null,"url":null,"abstract":"We introduce a cross-media meta-search engine RelaxImage for searching images from Web. Notable features of the RelaxImage are as follows: (1) each user's keyword query is \"relaxed\", that is, by gradually relaxing the search terms used for image search, we can solve the problem of conventional image search engine such as Google. (2) For searching images, our RelaxImage sends a different keyword-query to each search engine of different media-type. We show several examples of how the relaxation approach works as well as ways that it can be applied. That is, our RelaxImage shows a great improvement for increasing recall ratio without decreasing of precision ratio.","PeriodicalId":297231,"journal":{"name":"21st International Conference on Data Engineering (ICDE'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"RelaxImage: a cross-media meta-search engine for searching images from Web based on query relaxation\",\"authors\":\"Akihiro Kuwabara, Katsumi Tanaka\",\"doi\":\"10.1109/ICDE.2005.122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a cross-media meta-search engine RelaxImage for searching images from Web. Notable features of the RelaxImage are as follows: (1) each user's keyword query is \\\"relaxed\\\", that is, by gradually relaxing the search terms used for image search, we can solve the problem of conventional image search engine such as Google. (2) For searching images, our RelaxImage sends a different keyword-query to each search engine of different media-type. We show several examples of how the relaxation approach works as well as ways that it can be applied. That is, our RelaxImage shows a great improvement for increasing recall ratio without decreasing of precision ratio.\",\"PeriodicalId\":297231,\"journal\":{\"name\":\"21st International Conference on Data Engineering (ICDE'05)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st International Conference on Data Engineering (ICDE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2005.122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st International Conference on Data Engineering (ICDE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2005.122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

我们介绍了一个跨媒体元搜索引擎,用于从Web中搜索图像。RelaxImage的显著特点是:(1)每个用户的关键词查询是“放松的”,即通过逐步放松用于图像搜索的搜索词,可以解决常规图像搜索引擎如Google的问题。(2)对于搜索图像,我们的RelaxImage会向不同媒体类型的每个搜索引擎发送不同的关键字查询。我们展示了几个例子来说明放松方法是如何工作的,以及它可以应用的方法。也就是说,我们的RelaxImage在不降低查准率的情况下提高了查全率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
RelaxImage: a cross-media meta-search engine for searching images from Web based on query relaxation
We introduce a cross-media meta-search engine RelaxImage for searching images from Web. Notable features of the RelaxImage are as follows: (1) each user's keyword query is "relaxed", that is, by gradually relaxing the search terms used for image search, we can solve the problem of conventional image search engine such as Google. (2) For searching images, our RelaxImage sends a different keyword-query to each search engine of different media-type. We show several examples of how the relaxation approach works as well as ways that it can be applied. That is, our RelaxImage shows a great improvement for increasing recall ratio without decreasing of precision ratio.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Proactive caching for spatial queries in mobile environments MoDB: database system for synthesizing human motion Integrating data from disparate sources: a mass collaboration approach ViteX: a streaming XPath processing system Efficient data management on lightweight computing devices
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1