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Discriminative multimodal embedding for event classification

文献类型：期刊论文

作者Qi, Fan2,3; Yang, Xiaoshan1,3,4; Zhang, Tianzhu1,4; Xu, Changsheng1,2,3,4
刊名NEUROCOMPUTING
出版日期2020-06-28
卷号395页码:160-169
关键词Social media Event classification Multimodal embedding
ISSN号0925-2312
DOI10.1016/j.neucom.2017.11.078
通讯作者Yang, Xiaoshan(xiaoshan.yang@nlpr.ia.ac.cn)
英文摘要Most of existing multimodal event classification methods fuse the traditional hand-crafted features with some manually defined weights, which may be not suitable to the event classification task with large amounts of photos. Besides, the feature extraction and event classification model are always performed separately, which cannot capture the most useful features to describe the semantic concepts of complex events. To deal with these issues, we propose a novel discriminative multimodal embedding (DME) model for event classification in user generated photos by jointly learning the representation together with the classifier in a unified framework. In the proposed DME model, we can effectively resolve the multimodal, intra-class variation and inter-class confusion challenges by using the contrastive constraints on the multimodal event data. Extensive experimental results on two collected datasets demonstrate the effectiveness of the proposed DME model for event classification. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词IMAGE ANNOTATION
资助项目National Key Research and Development Program of China[2017YFB1002804] ; National Natural Science Foundation of China[61702511] ; National Natural Science Foundation of China[6172010 6006] ; National Natural Science Foundation of China[61728210] ; National Natural Science Foundation of China[61751211] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61632007] ; National Natural Science Foundation of China[61532009] ; National Natural Science Foundation of China[61572498] ; National Natural Science Foundation of China[61572296] ; National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[U1836220] ; National Natural Science Foundation of China[U1705262] ; Key Research Program of Frontier Sciences, CAS[QYZDJSSWJSC039] ; Research Program of National Laboratory of Pattern Recognition[Z-2018007] ; CCF-Tencent Open Fund
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000536809600016
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, CAS ; Research Program of National Laboratory of Pattern Recognition ; CCF-Tencent Open Fund
源URL[http://ir.ia.ac.cn/handle/173211/39544]  
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
通讯作者Yang, Xiaoshan
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Hefei Univ Technoloy, Sch Comp & Informat, Hefei, Peoples R China
3.Peng Cheng Lab, Shenzhen, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Qi, Fan,Yang, Xiaoshan,Zhang, Tianzhu,et al. Discriminative multimodal embedding for event classification[J]. NEUROCOMPUTING,2020,395:160-169.
APA Qi, Fan,Yang, Xiaoshan,Zhang, Tianzhu,&Xu, Changsheng.(2020).Discriminative multimodal embedding for event classification.NEUROCOMPUTING,395,160-169.
MLA Qi, Fan,et al."Discriminative multimodal embedding for event classification".NEUROCOMPUTING 395(2020):160-169.

入库方式： OAI收割

来源：自动化研究所

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