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Real time video overlays

Published: 10 August 2014 Publication History

Abstract

We introduce a distributed augmented reality framework for aerial video which uses CPU/GPU acceleration to correct sensor metadata errors, create a geo-referenced scene model registered to the video, overlay important data, and stream to multiple web clients in order to improve situational awareness during real-time missions.

Reference

[1]
Szeliski, R. 2011. Computer Vision: Algorithms and Applications. Springer.

Cited By

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  • (2020)Immersive media experience with MPEG OMAF multi-viewpoints and overlaysProceedings of the 11th ACM Multimedia Systems Conference10.1145/3339825.3393576(333-336)Online publication date: 27-May-2020

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Published In

cover image ACM Conferences
SIGGRAPH '14: ACM SIGGRAPH 2014 Posters
July 2014
110 pages
ISBN:9781450329583
DOI:10.1145/2614217
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 August 2014

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Author Tags

  1. distributed systems
  2. mobile augmented reality
  3. sensor pose estimation
  4. situational awareness
  5. unmanned aerial vehicles

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  • Research-article

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SIGGRAPH '14
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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

View all
  • (2020)Immersive media experience with MPEG OMAF multi-viewpoints and overlaysProceedings of the 11th ACM Multimedia Systems Conference10.1145/3339825.3393576(333-336)Online publication date: 27-May-2020

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