Inductive hierarchical nonnegative graph embedding for "verb-object" image classification
文献类型：期刊论文
| 作者 | Sun, Chao1,3; Bao, Bing-Kun2,3 ; Xu, Changsheng2,3
|
| 刊名 | MACHINE VISION AND APPLICATIONS
 |
| 出版日期 | 2014-10-01 |
| 卷号 | 25期号:7页码:1647-1659 |
| 关键词 | Inductive Hierarchical Graph embedding Verb-object |
| 英文摘要 | Most existing image classification algorithms mainly focus on dealing with images with only "object" concepts. However, in real-world cases, a great variety of images contain "verb-object" concepts, rather than only "object" ones. The hierarchical structure embedded in these "verb-object" concepts can help to enhance classification. However, traditional feature representation methods cannot utilize it. To tackle this problem, we present in this paper a novel approach, called inductive hierarchical nonnegative graph embedding. By assuming that those "verb-object" concept images which share the same "object" part but different "verb" part have a specific hierarchical structure, we integrate this hierarchical structure into the nonnegative graph embedding technique, together with the definition of inductive matrix, to (1) conduct effective feature extraction from hierarchical structure, (2) easily transfer each new testing sample into its low-dimensional nonnegative representation, and (3) perform image classification of "verb-object" concept images. Extensive experiments compared with the state-of-the-art algorithms on nonnegative data factorization demonstrate the classification power of proposed approach on "verb-object" concept images classification. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | DIMENSIONALITY REDUCTION ; MATRIX FACTORIZATION ; IDENTIFICATION ; PARTS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000342435800003 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2868]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Multimedia Comp Grp, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.China Singapore Inst Digital Media, Singapore, Singapore |
| 推荐引用方式 GB/T 7714 | Sun, Chao,Bao, Bing-Kun,Xu, Changsheng. Inductive hierarchical nonnegative graph embedding for "verb-object" image classification[J]. MACHINE VISION AND APPLICATIONS,2014,25(7):1647-1659. |
| APA | Sun, Chao,Bao, Bing-Kun,&Xu, Changsheng.(2014).Inductive hierarchical nonnegative graph embedding for "verb-object" image classification.MACHINE VISION AND APPLICATIONS,25(7),1647-1659. |
| MLA | Sun, Chao,et al."Inductive hierarchical nonnegative graph embedding for "verb-object" image classification".MACHINE VISION AND APPLICATIONS 25.7(2014):1647-1659. |
入库方式： OAI收割
来源：自动化研究所
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