Nonlinear matrix factorization with unified embedding for social tag relevance learning

	Nonlinear matrix factorization with unified embedding for social tag relevance learning
	Li, Zechao; Liu, Jing; Lu, Hanqing
发表期刊	NEUROCOMPUTING
	2013-04-01
卷号	105 页码:38-44
文章类型	Article
摘要	With the proliferation of social images, social image tagging is an essential issue for text-based social image retrieval. However, the original tags annotated by web users are always noisy, irrelevant and incomplete to interpret the image visual contents. In this paper, we propose a nonlinear matrix factorization method with the priors of inter- and intra-correlations among images and tags to effectively predict the tag relevance to the visual contents. In the proposed method, we attempt to discover the image latent feature space and the tag latent feature space in a unified space, that is, each image or each tag can be described as a point in the unified space. Intuitively, it is more understandable to estimate the relationships between images and tags directly based on their distances or similarities in the unified space. Thus, the task of image tagging or tag recommendation can be efficiently solved by the nearest tag-neighbors search in the unified space. Similarly, we can obtain the top relevant images corresponding to any tag so as to perform the task of image search by keywords. We investigate the performance of the proposed method on tag recommendation and image search respectively and compare to existing work on the challenging NUS-WIDE dataset. Extensive experiments demonstrate the effectiveness and potentials of the proposed method in real-world applications. (C) 2012 Elsevier B.V. All rights reserved.
关键词	Matrix Factorization Unified Embedding Tag Relevance Social Image Retrieval
WOS标题词	Science & Technology ; Technology
关键词[WOS]	IMAGE ANNOTATION ; SEMANTICS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000317091700006
引用统计	被引频次：12[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/173211/3369
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Li, Zechao,Liu, Jing,Lu, Hanqing. Nonlinear matrix factorization with unified embedding for social tag relevance learning[J]. NEUROCOMPUTING,2013,105:38-44.
APA	Li, Zechao,Liu, Jing,&Lu, Hanqing.(2013).Nonlinear matrix factorization with unified embedding for social tag relevance learning.NEUROCOMPUTING,105,38-44.
MLA	Li, Zechao,et al."Nonlinear matrix factorization with unified embedding for social tag relevance learning".NEUROCOMPUTING 105(2013):38-44.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Nonlinear matrix fac（1064KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载