Orientation data correction with georeferenced mobile videos

  • Authors:

  • Guanfeng Wang;Yifang Yin;Beomjoo Seo;Roger Zimmermann;Zhijie Shen

  • Affiliations:

  • National University of Singapore;National University of Singapore;Hongik University;National University of Singapore;Hortonworks Inc.

  • Venue:
  • Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2013

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Abstract

Similar to positioning data, camera orientation information has become a powerful contextual feature utilized by a number of GIS and social media applications. Such auxiliary information facilitates higher-level semantic analysis and management of video assets in such applications, e.g., video summarization and video indexing systems. However, it is problematic that raw sensor data collected from current mobile devices is often not accurate enough for subsequent geospatial analysis. To date, an effective orientation data correction system for mobile video content has been lacking. Here we present a content-based approach that improves the accuracy of noisy orientation sensor measurements generated by mobile devices in conjunction with video acquisition. Our preliminary experimental results demonstrate significant accuracy enhancements which benefit upstream sensor-aided GIS applications to access video content more precisely.