Knowledge Commons of Institute of Automation,CAS
Projective Matrix Factorization with unified embedding for social image tagging | |
Li, Zechao1,2; Liu, Jing2; Tang, Jinhui1; Lu, Hanqing2 | |
发表期刊 | COMPUTER VISION AND IMAGE UNDERSTANDING |
2014-07-01 | |
卷号 | 124页码:71-78 |
文章类型 | Article |
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. |
关键词 | Projective Matrix Factorization Unified Embedding Structure Preserving Social Tagging |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | ANNOTATION ; WEB |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000337663600008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3335 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
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 |
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,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. |
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Projective Matrix Fa(1371KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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