CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Automatic Visual Concept Learning for Social Event Understanding
Yang, Xiaoshan1,2; Zhang, Tianzhu1,2; Xu, Changsheng1,2; Hossain, M. Shamim3
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
2015-03-01
Volume17Issue:3Pages:346-358
SubtypeArticle
AbstractVision-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.
KeywordEvent Analysis Video Recognition
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TMM.2015.2393635
WOS KeywordDOMAIN ADAPTATION ; CLASSIFICATION ; RECOGNITION ; ATTRIBUTES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000351585700007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8093
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Automatic Visual Con(2027KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Xiaoshan]'s Articles
[Zhang, Tianzhu]'s Articles
[Xu, Changsheng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Xiaoshan]'s Articles
[Zhang, Tianzhu]'s Articles
[Xu, Changsheng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Xiaoshan]'s Articles
[Zhang, Tianzhu]'s Articles
[Xu, Changsheng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Automatic Visual Concept Learning for Social Event Understanding(论文).pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.