CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Projective Matrix Factorization with unified embedding for social image tagging
Li, Zechao1,2; Liu, Jing2; Tang, Jinhui1; Lu, Hanqing2
Source PublicationCOMPUTER VISION AND IMAGE UNDERSTANDING
2014-07-01
Volume124Pages:71-78
SubtypeArticle
AbstractThis 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.
KeywordProjective Matrix Factorization Unified Embedding Structure Preserving Social Tagging
WOS HeadingsScience & Technology ; Technology
WOS KeywordANNOTATION ; WEB
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000337663600008
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3335
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Projective Matrix Fa(1371KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Zechao]'s Articles
[Liu, Jing]'s Articles
[Tang, Jinhui]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Zechao]'s Articles
[Liu, Jing]'s Articles
[Tang, Jinhui]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Zechao]'s Articles
[Liu, Jing]'s Articles
[Tang, Jinhui]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Projective Matrix Factorization with unified embedding for social image tagging.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.