GRVS: a georeferenced video search engine

ABSTRACT

An increasing number of recorded videos are being tagged with geographic properties of the camera scenes. This meta-data is of significant use for storing, indexing and searching large collections of videos. By considering video related meta-information, more relevant and precisely delimited search results can be returned. Our system implementation demonstrates a prototype of a georeferenced video search engine (GRVS) that utilizes an estimation model of a camera's viewable scene for efficient video search. For video acquisition, our system provides an automated annotation software that captures videos and their respective field of views (FOV). The acquisition software allows community-driven data contributions to the search engine.

REFERENCES

• 1: Flowplayer -- Flash Video Player for the Web. http://flowplayer.org.
• 2: Google Maps API. http://code.google.com/apis/maps/.
• 3: Sakire Arslan Ay, Roger Zimmermann, and Seon Ho Kim. Viewable Scene Modeling for Geospatial Video Search. In MM '08: Proceedings of the 16th ACM International Multimedia Conference, pages 309--318, New York, NY, USA, 2008. ACM Press.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Query processing

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Query processing; Multimedia databases

General Terms:
Algorithms, Management, Performance

Keywords:
GPS, georeferencing, meta-data fusion, video search