Projective Matrix Factorization with unified embedding for social image tagging

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Projective Matrix Factorization with unified embedding for social image tagging
	Li, Zechao 1,2; Liu, Jing2 ; Tang, Jinhui 1; Lu, Hanqing2
刊名	COMPUTER VISION AND IMAGE UNDERSTANDING
	2014-07-01
卷号	124 页码:71-78
关键词	Projective Matrix Factorization Unified embedding Structure preserving Social tagging
英文摘要	This paper presents a general formulation, named Projective Matrix Factorization with unified embedding (PJMF), by which social image retagging is transformed to the nearest tag-neighbor search for each image. We solve the proposed PJMF as an optimization problem mainly considering the following issues. First, we attempt to find two latent representations in a unified space for images and tags respectively and explore the two representations to reconstruct the observed image-tag correlation in a nonlinear manner. In this case, the relevance between an image and a tag can be directly modeled as the pair-wise similarity in the unified space. Second, the image latent representation is assumed to be projected from its original visual feature representation with an orthogonal transformation matrix. The projection makes convenient to embed any images including out-of-samples into the unified space, and naturally the image retagging problem can be solved by the nearest tag-neighbors search for those images in the unified space. Third, local geometry preservations of image space and tag space respectively are explored as constraints in order to make image similarity (and tag relevance) consistent in the original space and the corresponding latent space. Experimental results on two publicly available benchmarks validate the encouraging performance of our work over the state-of-the-arts. (C) 2014 Elsevier Inc. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	ANNOTATION ; WEB
收录类别	SCI
语种	英语
WOS记录号	WOS:000337663600008
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3335]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Nanjing Univ Sci & Technol, Sch Comp Sci, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Li, Zechao,Liu, Jing,Tang, Jinhui,et al. Projective Matrix Factorization with unified embedding for social image tagging[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2014,124:71-78.
APA	Li, Zechao,Liu, Jing,Tang, Jinhui,&Lu, Hanqing.(2014).Projective Matrix Factorization with unified embedding for social image tagging.COMPUTER VISION AND IMAGE UNDERSTANDING,124,71-78.
MLA	Li, Zechao,et al."Projective Matrix Factorization with unified embedding for social image tagging".COMPUTER VISION AND IMAGE UNDERSTANDING 124(2014):71-78.