Automatic Visual Concept Learning for Social Event Understanding

doi:10.1109/TMM.2015.2393635

	Automatic Visual Concept Learning for Social Event Understanding
	Yang, Xiaoshan1,2 ; Zhang, Tianzhu1,2 ; Xu, Changsheng1,2 ; Hossain, M. Shamim 3
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
	2015-03-01
卷号	17 期号:3 页码:346-358
文章类型	Article
摘要	Vision-based event analysis is extremely difficult due to the various concepts (object, action, and scene) contained in videos. Though visual concept-based event analysis has achieved significant progress, it has two disadvantages: visual concept is defined manually, and has only one corresponding classifier in traditional methods. To deal with these issues, we propose a novel automatic visual concept learning algorithm for social event understanding in videos. First, instead of defining visual concept manually, we propose an effective automatic concept mining algorithm with the help of Wikipedia, N-gram Web services, and Flickr. Then, based on the learned visual concept, we propose a novel boosting concept learning algorithm to iteratively learn multiple classifiers for each concept to enhance its representative discriminability. The extensive experimental evaluations on the collected dataset well demonstrate the effectiveness of the proposed algorithm for social event understanding.
关键词	Event Analysis Video Recognition
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TMM.2015.2393635
关键词[WOS]	DOMAIN ADAPTATION ; CLASSIFICATION ; RECOGNITION ; ATTRIBUTES
收录类别	SCI
语种	英语
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:000351585700007
引用统计	被引频次：50[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8093
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.China Singapore Inst Digital Media, Singapore 119613, Singapore 3.King Saud Univ, Coll Comp & Informat Sci, SWE Dept, Riyadh 12372, Saudi Arabia
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yang, Xiaoshan,Zhang, Tianzhu,Xu, Changsheng,et al. Automatic Visual Concept Learning for Social Event Understanding[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(3):346-358.
APA	Yang, Xiaoshan,Zhang, Tianzhu,Xu, Changsheng,&Hossain, M. Shamim.(2015).Automatic Visual Concept Learning for Social Event Understanding.IEEE TRANSACTIONS ON MULTIMEDIA,17(3),346-358.
MLA	Yang, Xiaoshan,et al."Automatic Visual Concept Learning for Social Event Understanding".IEEE TRANSACTIONS ON MULTIMEDIA 17.3(2015):346-358.

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