Location-based hierarchical event summary for social media photos

Weipeng Zhang, Jia Chen, Jie Shen, Yong Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – PCM 2014 - 15th Pacific-Rim Conference on Multimedia, Proceedings
EditorsWei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin-Kuan Ho, Benoit Huet, Chong-Wah Ngo
Pages254-257
Number of pages4
ISBN (Electronic)9783319131672
DOIs
StatePublished - 2014
Event15th Pacific-Rim Conference on Multimedia, PCM 2014 - Kuching, Malaysia
Duration: 1 Dec 20144 Dec 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8879
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Pacific-Rim Conference on Multimedia, PCM 2014
Country/TerritoryMalaysia
CityKuching
Period1/12/144/12/14

Keywords

  • Clustering
  • Event detection
  • Hierarchical
  • Social media

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