Automatic Visual Concept Learning for Social Event Understanding
文献类型:期刊论文
作者 | Yang, Xiaoshan1,2![]() ![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。