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Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation

文献类型：期刊论文

作者Ding, Xinmiao1; Li, Bing2; Xiong, Weihua2; Guo, Wen1; Hu, Weiming3; Wang, Bo2
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2016-08-01
卷号18期号:8页码:1616-1627
关键词Image Annotation Instance Context Label Context Multi-instance Multi-label
DOI10.1109/TMM.2016.2572000
文献子类Article
英文摘要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.
WOS关键词BI-RELATIONAL GRAPH ; CLASSIFICATION ; CATEGORIZATION ; SYSTEM
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000379978000014
资助机构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)
源URL[http://ir.ia.ac.cn/handle/173211/12163]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
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.

入库方式： OAI收割

来源：自动化研究所

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