{"title":"关系社会形象搜索","authors":"P. Aarabi","doi":"10.1109/ISM.2013.105","DOIUrl":null,"url":null,"abstract":"This paper proposes a method of finding the relationship between objects based on their spatial arrangement in a set of tagged images. Based on the relative coordinates of each object tag, we compute a joint Relativity between each tag pair. We then propose an efficient image search method using the joint Relativity graphs and provide simple examples where the proposed Relational Social Image (RSI) search produces more relevant and intuitive results than simple search.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"401 1","pages":"520-521"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Relational Social Image Search\",\"authors\":\"P. Aarabi\",\"doi\":\"10.1109/ISM.2013.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method of finding the relationship between objects based on their spatial arrangement in a set of tagged images. Based on the relative coordinates of each object tag, we compute a joint Relativity between each tag pair. We then propose an efficient image search method using the joint Relativity graphs and provide simple examples where the proposed Relational Social Image (RSI) search produces more relevant and intuitive results than simple search.\",\"PeriodicalId\":6311,\"journal\":{\"name\":\"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)\",\"volume\":\"401 1\",\"pages\":\"520-521\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2013.105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2013.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种基于一组标记图像中物体的空间排列来寻找物体之间关系的方法。根据每个目标标签的相对坐标,计算每个标签对之间的联合相对性。然后,我们提出了一种使用联合相关性图的高效图像搜索方法,并提供了简单的示例,其中所提出的关系社会图像(RSI)搜索比简单搜索产生更相关和直观的结果。
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
Relational Social Image Search
This paper proposes a method of finding the relationship between objects based on their spatial arrangement in a set of tagged images. Based on the relative coordinates of each object tag, we compute a joint Relativity between each tag pair. We then propose an efficient image search method using the joint Relativity graphs and provide simple examples where the proposed Relational Social Image (RSI) search produces more relevant and intuitive results than simple search.
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
The LectureSight System in Production Scenarios and Its Impact on Learning from Video Recorded Lectures Similarity-Based Browsing of Image Search Results Efficient Super Resolution Using Edge Directed Unsharp Masking Sharpening Method A Fluorescent Mid-air Screen Towards Sketch-Based Motion Queries in Sports Videos
×
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