Knowledge Commons of Institute of Automation，CAS
| Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation | |
Ding, Xinmiao1; Li, Bing2 ; Xiong, Weihua2; Guo, Wen1; Hu, Weiming3; Wang, Bo2
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| 发表期刊 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 2016-08-01 | |
| 卷号 | 18期号:8页码:1616-1627 |
| 文章类型 | Article |
| 摘要 | In image annotation, one image is often modeled as a bag of regions ("instances") associated with multiple labels, which is a typical application of multi-instance multi-label learning (MIML). Although lots of research has shown that the interplay embedded among instances and labels can largely boost the image annotation accuracy, most existing MIML methods consider none or partial context cues. In this paper, we propose a novel context-aware MIML model to integrate the instance context and label context into a general framework. Specially, the instance context is constructed with multiple graphs, while the label context is built up through a linear combination of several common latent conceptions that link low level features and high level semantic labels. Comparison with other leading methods on several benchmark datasets in terms of image annotation shows that our proposed method can get better performance than the state-of-the-art approaches. |
| 关键词 | Image Annotation Instance Context Label Context Multi-instance Multi-label |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TMM.2016.2572000 |
| 关键词[WOS] | BI-RELATIONAL GRAPH ; CLASSIFICATION ; CATEGORIZATION ; SYSTEM |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | 973 basic research program of China(2014CB349303) ; Natural Science Foundation of China(61472421 ; Strategic Priority Research Program of the CAS(XDB02070003) ; Natural Science Foundation of Shandong Province(ZR2015FL020) ; 61370038 ; 61303086 ; 61572296 ; 61503219 ; 61472227) |
| WOS研究方向 | Computer Science ; Telecommunications |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| WOS记录号 | WOS:000379978000014 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/12163 |
| 专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
| 作者单位 | 1.Shandong Technol & Business Univ, Yantai 264005, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ding, Xinmiao,Li, Bing,Xiong, Weihua,et al. Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2016,18(8):1616-1627. |
| APA | Ding, Xinmiao,Li, Bing,Xiong, Weihua,Guo, Wen,Hu, Weiming,&Wang, Bo.(2016).Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation.IEEE TRANSACTIONS ON MULTIMEDIA,18(8),1616-1627. |
| MLA | Ding, Xinmiao,et al."Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation".IEEE TRANSACTIONS ON MULTIMEDIA 18.8(2016):1616-1627. |
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| Multi-Instance Multi（549KB） | 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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