中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic Visual Concept Learning for Social Event Understanding

文献类型:期刊论文

作者Yang, Xiaoshan1,2; Zhang, Tianzhu1,2; Xu, Changsheng1,2; Hossain, M. Shamim3
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2015-03-01
卷号17期号:3页码:346-358
关键词Event analysis video recognition
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
研究领域[WOS]Computer Science ; Telecommunications
关键词[WOS]DOMAIN ADAPTATION ; CLASSIFICATION ; RECOGNITION ; ATTRIBUTES
收录类别SCI
语种英语
WOS记录号WOS:000351585700007
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/8093]  
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
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.China Singapore Inst Digital Media, Singapore 119613, Singapore
3.King Saud Univ, Coll Comp & Informat Sci, SWE Dept, Riyadh 12372, Saudi Arabia
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.

入库方式: OAI收割

来源:自动化研究所

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