An SVD-based Multimodal Clustering method for Social Event Detection
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings - International Conference on Data Engineering |
Publisher | IEEE Computer Society |
Pages | 202-209 |
Volume | 2015-June |
ISBN (print) | 9781479984411 |
Publication status | Published - 19 Jun 2015 |
Publication series
Name | |
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Volume | 2015-June |
ISSN (Print) | 1084-4627 |
Conference
Title | 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015 |
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Place | Korea, Republic of |
City | Seoul |
Period | 13 - 17 April 2015 |
Link(s)
Abstract
With the rapid development of social media sites such as Flickr, user-generated multimedia content on the Web has shown an explosive growth in recent years. Social event detection from these large multimedia collections has become one of the hottest topics in analysis of Web content. In this paper, an SVD-based Multimodal Clustering (SVDMC) algorithm is proposed to detect social events from multimodal data. SVDMC is a completely unsupervised approach aiming to take full advantage of the data at hand. Through using the binary adjacency matrix and Singular Value Decomposition (SVD), SVDMC is robust to data incompleteness for datasets in real world. Experiments conducted on the MediaEval Social Event Detection (SED) 2012 dataset demonstrate the effectiveness of the proposed method as well as discriminative power of different features.
Citation Format(s)
An SVD-based Multimodal Clustering method for Social Event Detection. / Ma, Yun; Li, Qing; Yang, Zhenguo et al.
Proceedings - International Conference on Data Engineering. Vol. 2015-June IEEE Computer Society, 2015. p. 202-209 7129577.
Proceedings - International Conference on Data Engineering. Vol. 2015-June IEEE Computer Society, 2015. p. 202-209 7129577.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review