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Exploring Viewable Angle Information in Georeferenced Video Search

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Published:13 October 2015Publication History

ABSTRACT

As positioning data and other sensor information such as orientation measurement became powerful contextual features generated by mobile devices during video recording, a model capturing geographic field-of-view (FOV) has been developed for georeferenced video search. The accurate representation of an FOV is through the geometric shape of a circular sector. However, previous work simply employed a rectilinear vector model to represent the coverage area of a video scene. In this study, we propose to use a novel circular sector model with beginning-ending vectors for FOV representation which additionally explores viewable angle information. Its major advantage is that it leads to a more accurate georeferenced video search without false positives or false negatives (which occur in previous model using single vector). We demonstrate how our model can be applied to perform different types of overlap queries for spatial data selection in a unified framework, while providing competitive performance in terms of efficiency.

References

  1. S. A. Ay, R. Zimmermann, and S. H. Kim. Viewable scene modeling for geospatial video search. In Proceedings of the 16th International Conference on Multimedia 2008, Vancouver, British Columbia, Canada, October 26--31, 2008, pages 309--318, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  3. S. H. Kim, S. A. Ay, B. Yu, and R. Zimmermann. Vector model in support of versatile georeferenced video search. In Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems, MMSys 2010, Phoenix, Arizona, USA, February 22--23, 2010, pages 235--246, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. H. Ma, S. A. Ay, R. Zimmermann, and S. H. Kim. Large-scale geo-tagged video indexing and queries. GeoInformatica, 18(4):671--697, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. G. Wang, B. Seo, Y. Yin, R. Zimmermann, and Z. Shen. OSCOR: an orientation sensor data correction system for mobile generated contents. In ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21--25, 2013, pages 439--440, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Exploring Viewable Angle Information in Georeferenced Video Search

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    • Published in

      cover image ACM Conferences
      MM '15: Proceedings of the 23rd ACM international conference on Multimedia
      October 2015
      1402 pages
      ISBN:9781450334594
      DOI:10.1145/2733373

      Copyright © 2015 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 October 2015

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      MM '15 Paper Acceptance Rate56of252submissions,22%Overall Acceptance Rate995of4,171submissions,24%

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