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Demo: lehigh explorer augmented campus tour (LACT)

Published: 11 June 2014 Publication History

Abstract

Augmented reality technologies allow 3D rendering of media-rich contents which can further be embedded within users' view of the world around them. In this demo, we present our Lehigh Explorer Augmented Campus Tour application which uses new content centric network features we designed. Users submit keyword-based queries to retrieve relevant multimedia contents of campus buildings they are interested in exploring remotely or while visiting the campus in person. Our demo will be presented using Android devices supporting Android version 4.2 and above.

References

[1]
V. Jacobson et al, "Networking Named Content", Proceedings of ACM CONEXT, Dec, 2009.
[2]
M. Chuah, X. Xiong, "Secure Content Centric Mobile Network", Proceedings of IEEE Globecom, Dec, 2011
[3]
Z. Qin, D. Li, M. Chuah, "Lehigh Explorer: A Real time video streaming application with mobility support for content centric networks", IEEE MSN, Dec, 2013.
[4]
M. Chuah, S. Roy, I. Stoev, "Secure Descriptive Message Dissemnation in Disruption Tolerant Networks", ACM International Workshop on Mobile Opportunistic Networks, June 2010.
[5]
Displaying Graphis with OpenGL, developer.anroid.com/training/graphics/opengl/index.html
[6]
Paronama Client http://developer.android.com/reference/com/google/android/gms/panorama/PanoramaClient.html
[7]
Qualcomm Vuforia https://www.vuforia.com

Cited By

View all
  • (2016)DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition2016 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC.2016.38(64-76)Online publication date: Oct-2016
  • (2015)EMODProceedings of the 6th ACM Multimedia Systems Conference10.1145/2713168.2713172(25-36)Online publication date: 18-Mar-2015

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Information & Contributors

Information

Published In

cover image ACM Conferences
MARS '14: Proceedings of the 2014 workshop on Mobile augmented reality and robotic technology-based systems
June 2014
60 pages
ISBN:9781450328234
DOI:10.1145/2609829
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: 11 June 2014

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Author Tags

  1. augmented reality
  2. content centric networks
  3. mobile applications
  4. virtual campus tour

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  • Demonstration

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MobiSys'14
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Acceptance Rates

MARS '14 Paper Acceptance Rate 6 of 7 submissions, 86%;
Overall Acceptance Rate 6 of 7 submissions, 86%

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Cited By

View all
  • (2016)DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition2016 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC.2016.38(64-76)Online publication date: Oct-2016
  • (2015)EMODProceedings of the 6th ACM Multimedia Systems Conference10.1145/2713168.2713172(25-36)Online publication date: 18-Mar-2015

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