基于径向基函数的视觉图像检索

L. Flores-Pulido, G. Rodríguez-Gómez, O. Starostenko, Carlos Santacruz-Olmos
{"title":"基于径向基函数的视觉图像检索","authors":"L. Flores-Pulido, G. Rodríguez-Gómez, O. Starostenko, Carlos Santacruz-Olmos","doi":"10.1109/CERMA.2010.51","DOIUrl":null,"url":null,"abstract":"Visual image retrieval systems imply novel approaches to improve their performance. Search methods require mathematical formalism for feature extraction of multi medial data. Euclidean distance is not enough approach for extracting similarity between images. Radial basis function provides necessary optimization for similarity measures when query image is used as reference. This paper explains a novel method exploiting radial basis function applied for visual image retrieval area. The goal of the approach is the searching process optimization for image retrieval which is obtained results reveal interesting conclusions about advantages of the proposed method even conventional similarity measurement approaches used in content based retrieval area.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radial Basis Function for Visual Image Retrieval\",\"authors\":\"L. Flores-Pulido, G. Rodríguez-Gómez, O. Starostenko, Carlos Santacruz-Olmos\",\"doi\":\"10.1109/CERMA.2010.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual image retrieval systems imply novel approaches to improve their performance. Search methods require mathematical formalism for feature extraction of multi medial data. Euclidean distance is not enough approach for extracting similarity between images. Radial basis function provides necessary optimization for similarity measures when query image is used as reference. This paper explains a novel method exploiting radial basis function applied for visual image retrieval area. The goal of the approach is the searching process optimization for image retrieval which is obtained results reveal interesting conclusions about advantages of the proposed method even conventional similarity measurement approaches used in content based retrieval area.\",\"PeriodicalId\":119218,\"journal\":{\"name\":\"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2010.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2010.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

视觉图像检索系统需要新的方法来提高其性能。搜索方法需要数学形式化来提取多媒体数据的特征。欧几里得距离是一种不足以提取图像间相似性的方法。当查询图像作为参考时,径向基函数为相似性度量提供了必要的优化。本文介绍了一种利用径向基函数进行视觉图像检索的新方法。该方法的目标是优化图像检索的搜索过程,结果显示了该方法在基于内容的检索领域比传统的相似度度量方法更有优势的有趣结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radial Basis Function for Visual Image Retrieval
Visual image retrieval systems imply novel approaches to improve their performance. Search methods require mathematical formalism for feature extraction of multi medial data. Euclidean distance is not enough approach for extracting similarity between images. Radial basis function provides necessary optimization for similarity measures when query image is used as reference. This paper explains a novel method exploiting radial basis function applied for visual image retrieval area. The goal of the approach is the searching process optimization for image retrieval which is obtained results reveal interesting conclusions about advantages of the proposed method even conventional similarity measurement approaches used in content based retrieval area.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信