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Distributed image understanding with semantic dictionary and semantic expansion
Li, Liang1; Yan, Chenggang Clarence2; Chen, Xing3,4; Zhang, Chunjie1; Yin, Jian6; Jiang, Baochen6; Huang, Qingming1,5
2016-01-22
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号174页码:384-392
摘要Web-scale image understanding is drawing more and more attention from the computer vision and multimedia domain. To solve the key problem of visual polysemia and concept polymorphism in the image understanding, this paper proposes a semantic dictionary to describe the images on the level of semantic. The semantic dictionary characterizes the probability distribution between visual appearances and semantic concepts, and the learning procedure of semantic dictionary is formulated into a minimization optimization problem. Mixed-norm regularization is adopted to solve the above optimization for learning the concept membership distribution of visual appearance. Furthermore, to improve the generalization ability of the semantic description, we propose the semantic expansion technology, where a concept transferring matrix is learnt to quantize the implicit relevancy among the concepts. Finally, the distributed framework on the basis of the semantic dictionary is constructed to speed up the large scale image understanding. The semantic dictionary is validated in the tasks of large scale semantic image search and image annotation. (C) 2015 Elsevier B.V. All rights reserved.
关键词Image understanding Semantic dictionary Multi-task learning Semantic expansion Distributed systems
DOI10.1016/j.neucom.2015.04.108
收录类别SCI
语种英语
资助项目National Basic Research Program of China (973 Program)[2012CB316400] ; National Basic Research Program of China (973 Program)[2015CB351802] ; National Natural Science Foundation of China[61332016] ; National Natural Science Foundation of China[61025011] ; National Natural Science Foundation of China[61402431] ; National Natural Science Foundation of China[61303154] ; National Natural Science Foundation of China[11301517] ; National Natural Science Foundation of China[61472203] ; China Postdoctoral Science Foundation
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000367276700038
出版者ELSEVIER SCIENCE BV
引用统计
被引频次:21[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/8996
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Chunjie
作者单位1.Univ Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China
2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
6.Shandong Univ, Dept Comp, Weihai, Peoples R China
推荐引用方式
GB/T 7714
Li, Liang,Yan, Chenggang Clarence,Chen, Xing,et al. Distributed image understanding with semantic dictionary and semantic expansion[J]. NEUROCOMPUTING,2016,174:384-392.
APA Li, Liang.,Yan, Chenggang Clarence.,Chen, Xing.,Zhang, Chunjie.,Yin, Jian.,...&Huang, Qingming.(2016).Distributed image understanding with semantic dictionary and semantic expansion.NEUROCOMPUTING,174,384-392.
MLA Li, Liang,et al."Distributed image understanding with semantic dictionary and semantic expansion".NEUROCOMPUTING 174(2016):384-392.
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