A unified geolocation framework for web videos

Yicheng Song, Yongdong Zhang, Juan Cao, Jinhui Tang, Xingyu Gao, Jintao Li

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this article, we propose a unified geolocation framework to automatically determine where on the earth a web video was shot. We analyze different social, visual, and textual relationships from a real-world dataset and find four relationships with apparent geography clues that can be used for web video geolocation. Then, the geolocation process is formulated as an optimization problem that simultaneously takes the social, visual, and textual relationships into consideration. The optimization problem is solved by an iterative procedure, which can be interpreted as a propagation of the geography information among the web video social network. Extensive experiments on a real-world dataset clearly demonstrate the effectiveness of our proposed framework, with the geolocation accuracy higher than state-of-the-art approaches.

Original languageEnglish (US)
Article number49
JournalACM Transactions on Intelligent Systems and Technology
Volume5
Issue number3
DOIs
StatePublished - Sep 18 2014

Keywords

  • Geotag
  • Unified geolocation framework
  • Web video

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