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Location-Based Hierarchical Event Summary for Social Media Photos

  • Weipeng Zhang
  • Jia Chen
  • Jie Shen
  • Yong Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8879)

Abstract

In this paper, we propose a system named “LHES” to detect location-based social events on flexible time scales and generate a hierarchical summary for the event. Particularly, we focus on social events that happened at landmarks. Flexible time scales include month, day, hour and minute. For each landmark, our LHES system generates a hierarchical (tree style) summary, in which the root node gives a snapshot of the entire event and child nodes span different time periods (beginning, ending, etc.) of the parent event. To generate such a summary, we use both visual cues (e.g., color, texture) and metadata (e.g., time stamp, image tags, titles and description). Our online demo is available at http://hed.apexlab.org.

Keywords

event detection hierarchical social media clustering 

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References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Weipeng Zhang
    • 1
  • Jia Chen
    • 1
  • Jie Shen
    • 1
  • Yong Yu
    • 1
  1. 1.Dept. of Computer Science & EngineeringShanghai Jiao Tong UniversityChina

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