Automatic Visual Concept Learning for Social Event Understanding
Yang, Xiaoshan1,2; Zhang, Tianzhu1,2; Xu, Changsheng1,2; Hossain, M. Shamim3
2015-03-01
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
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
DOI10.1109/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
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被引频次:22[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
专题模式识别国家重点实验室_多媒体计算与图形学
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
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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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