Online Multi-Modal Distance Metric Learning with Application to Image Retrieval
Wu, Pengcheng1; Hoi, Steven C. H.1; Zhao, Peilin2; Miao, Chunyan3; Liu, Zhi-Yong4
2016-02-01
发表期刊IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
卷号28期号:2页码:454-467
文章类型Article
摘要Distance metric learning (DML) is an important technique to improve similarity search in content-based image retrieval. Despite being studied extensively, most existing DML approaches typically adopt a single-modal learning framework that learns the distance metric on either a single feature type or a combined feature space where multiple types of features are simply concatenated. Such single-modal DML methods suffer from some critical limitations: (i) some type of features may significantly dominate the others in the DML task due to diverse feature representations; and (ii) learning a distance metric on the combined high-dimensional feature space can be extremely time-consuming using the naive feature concatenation approach. To address these limitations, in this paper, we investigate a novel scheme of online multi-modal distance metric learning (OMDML), which explores a unified two-level online learning scheme: (i) it learns to optimize a distance metric on each individual feature space; and (ii) then it learns to find the optimal combination of diverse types of features. To further reduce the expensive cost of DML on high-dimensional feature space, we propose a low-rank OMDML algorithm which not only significantly reduces the computational cost but also retains highly competing or even better learning accuracy. We conduct extensive experiments to evaluate the performance of the proposed algorithms for multi-modal image retrieval, in which encouraging results validate the effectiveness of the proposed technique.
关键词Content-based Image Retrieval Multi-modal Retrieval Distance Metric Learning Online Learning
WOS标题词Science & Technology ; Technology
DOI10.1109/TKDE.2015.2477296
关键词[WOS]CLASSIFICATION ; ALGORITHMS ; SHAPE
收录类别SCI
语种英语
项目资助者Singapore Ministry of Education(14-C220-SMU-016)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000369006800013
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11333
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
作者单位1.Singapore Management Univ, Sch Informat Syst, Singapore 178902, Singapore
2.ASTAR, Data Analyt Dept, Inst Infocomm Res, Singapore 138632, Singapore
3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wu, Pengcheng,Hoi, Steven C. H.,Zhao, Peilin,et al. Online Multi-Modal Distance Metric Learning with Application to Image Retrieval[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2016,28(2):454-467.
APA Wu, Pengcheng,Hoi, Steven C. H.,Zhao, Peilin,Miao, Chunyan,&Liu, Zhi-Yong.(2016).Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,28(2),454-467.
MLA Wu, Pengcheng,et al."Online Multi-Modal Distance Metric Learning with Application to Image Retrieval".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 28.2(2016):454-467.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wu, Pengcheng]的文章
[Hoi, Steven C. H.]的文章
[Zhao, Peilin]的文章
百度学术
百度学术中相似的文章
[Wu, Pengcheng]的文章
[Hoi, Steven C. H.]的文章
[Zhao, Peilin]的文章
必应学术
必应学术中相似的文章
[Wu, Pengcheng]的文章
[Hoi, Steven C. H.]的文章
[Zhao, Peilin]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。