UM  > 科技學院  > 電腦及資訊科學系
Semi-supervised Multimodal Clustering Algorithm Integrating Label Signals for Social Event Detection
Yang Z.1; Li Q.1; Lu Z.1; Ma Y.1; Gong Z.1,2; Pan H.1,3
2015
Conference NameIEEE First International Conference on Multimedia Big Data
Source PublicationProceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015
Pages32-39
Conference DateAPR 20-22, 2015
Conference PlaceBeijing, PEOPLES R CHINA
Abstract

Photo-sharing social media sites provide new ways for users to share their experiences and interests on the Web, which aggregate large amounts of multimedia resources associated with a wide variety of real-world events in different types and scales. In this work, we aim to tackle social event detection from these large amounts of image collections by devising a semi-supervised multimodal clustering algorithm, denoted by SSMC, which exploits label signals to guide the fusion of the multimodal features. Particularly, SSMC takes advantage of the distribution over the similarities on a small amount of labeled data to represent the images, fusing multiple heterogeneous features seamlessly. As a result, SSMC has low computational complexity in processing multimodal features for both initial and updating stages. Experiments are conducted on the Mediaeval social event detection challenge, and the results show that our approach achieves better performance compared with the baseline algorithms.

KeywordMultimedia Multimodal Clustering Social Event Detection Social Media
DOI10.1109/BigMM.2015.26
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000380492700009
Fulltext Access
Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.City University of Hong Kong
2.Universidade de Macau
3.Harbin Engineering University
Recommended Citation
GB/T 7714
Yang Z.,Li Q.,Lu Z.,et al. Semi-supervised Multimodal Clustering Algorithm Integrating Label Signals for Social Event Detection[C],2015:32-39.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang Z.]'s Articles
[Li Q.]'s Articles
[Lu Z.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang Z.]'s Articles
[Li Q.]'s Articles
[Lu Z.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang Z.]'s Articles
[Li Q.]'s Articles
[Lu Z.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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