TY - GEN
T1 - An SVD-based Multimodal Clustering method for Social Event Detection
AU - Ma, Yun
AU - Li, Qing
AU - Yang, Zhenguo
AU - Lu, Zheng
AU - Pan, Haiwei
AU - Chan, Antoni B.
PY - 2015/6/19
Y1 - 2015/6/19
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84944324715
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84944324715&origin=recordpage
U2 - 10.1109/ICDEW.2015.7129577
DO - 10.1109/ICDEW.2015.7129577
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479984411
VL - 2015-June
SP - 202
EP - 209
BT - Proceedings - International Conference on Data Engineering
PB - IEEE Computer Society
T2 - 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015
Y2 - 13 April 2015 through 17 April 2015
ER -