Title of article :
Topic Modeling Based Image Clustering by Events in Social Media
Author/Authors :
Xu,Bin Computing Center - Northeastern University, China , Fan, Guoliang School of Electrical and Computer Engineering - Oklahoma State University, Stillwater, USA , Yang, Dan College of Information Science and Engineering - Northeastern University, China
Pages :
8
From page :
1
To page :
8
Abstract :
Social event detection in large photo collections is very challenging and multimodal clustering is an effective methodology to deal with the problem. Geographic information is important in event detection. This paper proposed a topic model based approach to estimate the missing geographic information for photos. The approach utilizes a supervised multimodal topic model to estimate the joint distribution of time, geographic, content, and attached textual information. Then we annotate the missing geographic photos with a predicted geographic coordinate. Experimental results indicate that the clustering performance improved by annotated geographic information.
Keywords :
Social Media , Topic Modeling Based , Image Clustering , Events in Social Media
Journal title :
Scientific Programming
Serial Year :
2016
Full Text URL :
Record number :
2606946
Link To Document :
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