Social event detection with interaction graph modeling

Yanxiang Wang, Hari Sundaram, Lexing Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on detecting social, physical-world events from photos posted on social media sites. The problem is important: cheap media capture devices have significantly increased the number of photos shared on these sites. The main contribution of this paper is to incorporate online social interaction features in the detection of physical events. We believe that online social interaction reflect important signals among the participants on the "social affinity" of two photos, thereby helping event detection. We compute social affinity via a random-walk on a social interaction graph to determine similarity between two photos on the graph. We train a support vector machine classifier to combine the social affinity between photos and photo-centric metadata including time, location, tags and description. Incremental clustering is then used to group photos to event clusters. We have very good results on two large scale real-world datasets: Upcoming and MediaEval. We show an improvement between 0.06-0.10 in F1 on these datasets.

Original languageEnglish (US)
Title of host publicationMM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
PublisherAssociation for Computing Machinery
Pages865-868
Number of pages4
ISBN (Print)9781450310895
DOIs
StatePublished - Jan 1 2012
Externally publishedYes
Event20th ACM International Conference on Multimedia, MM 2012 - Nara, Japan
Duration: Oct 29 2012Nov 2 2012

Publication series

NameMM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Other

Other20th ACM International Conference on Multimedia, MM 2012
Country/TerritoryJapan
CityNara
Period10/29/1211/2/12

Keywords

  • event detection
  • similarity metric
  • social media

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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