Computer Vision meets Databases最新文献

筛选
英文 中文
A comparison of active classification methods for content-based image retrieval 基于内容的图像检索主动分类方法的比较
Computer Vision meets Databases Pub Date : 2004-06-13 DOI: 10.1145/1039470.1039483
P. Gosselin, M. Cord
{"title":"A comparison of active classification methods for content-based image retrieval","authors":"P. Gosselin, M. Cord","doi":"10.1145/1039470.1039483","DOIUrl":"https://doi.org/10.1145/1039470.1039483","url":null,"abstract":"This paper deals with content-based image indexing and category retrieval in general databases. Statistical learning approaches have been recently introduced in CBIR. Labelled images are considered as training data in learning strategy based on classification process. We introduce an active learning strategy to select the most difficult images to classify with only few training data. Experimentations are carried out on the COREL database. We compare seven classification strategies to evaluate the active learning contribution in CBIR.","PeriodicalId":346313,"journal":{"name":"Computer Vision meets Databases","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114578874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 57
The PIBE personalizable image browsing engine PIBE个性化图像浏览引擎
Computer Vision meets Databases Pub Date : 2004-06-13 DOI: 10.1145/1039470.1039482
Ilaria Bartolini, P. Ciaccia, M. Patella
{"title":"The PIBE personalizable image browsing engine","authors":"Ilaria Bartolini, P. Ciaccia, M. Patella","doi":"10.1145/1039470.1039482","DOIUrl":"https://doi.org/10.1145/1039470.1039482","url":null,"abstract":"In this paper we describe PIBE, a new Personalizable Image Browsing Engine that allows an effective visual exploration of large image collections combining computer vision and database techniques. The principal features of PIBE include the possibility of modifying the browsing structure by means of graphical personalization actions provided by the visual interface, and of persistently storing such customizations for subsequent browsing sections. The PIBE hierarchical browsing structure, called Browsing Tree, can be locally customized, thus avoiding global reorganizations, which are clearly unfeasible with large collections. Indeed, each node of the Browsing Tree has associated a cluster of images and a specific dissimilarity function. We present the basic principles of the PIBE engine, and report some experimental results showing the effectiveness and the efficiency of the browsing and personalization functionalities provided.","PeriodicalId":346313,"journal":{"name":"Computer Vision meets Databases","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130794627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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×
相关产品
×
本文献相关产品
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