Topic Modeling Based Image Clustering by Events in Social Media
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xu, Bin& Fan, Guoliang& Yang, Dan. 2016. Topic Modeling Based Image Clustering by Events in Social Media. Scientific Programming،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118278
Modern Language Association (MLA)
Xu, Bin…[et al.]. Topic Modeling Based Image Clustering by Events in Social Media. Scientific Programming No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1118278
American Medical Association (AMA)
Xu, Bin& Fan, Guoliang& Yang, Dan. Topic Modeling Based Image Clustering by Events in Social Media. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118278
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118278