Over-the-air TV detection using mobile devices

Mohamed Ibrahim, Marco Gruteser, Khaled A. Harras, Moustafa Youssef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We introduce a mobile sensing technique to detect a nearby active television, the channel it is tuned to, and whether it is receiving this channel over the air or not. This technique can find applications in tracking TV viewership, second screen services and advertising, as well as improving the efficiency of TV white space spectrum usage. The technique uses a three-stage detection process: It first uses a Gaussian mixture model on audio recordings from mobile phones to detect likely TV sounds in the area. It then correlates the recording with known TV channel audio to identify the channel and improve detection robustness. Finally, it applies a latency analysis to determine whether programming is received over-the-air or through alternate means such as cable or satellite TV. Our system is evaluated using diverse datasets that take into account different realistic scenarios of indoor environments for several users. The results show that the system can achieve an area under the curve (AUC) of 0.9979 and a false negative rate of 0.0132.

Original languageEnglish (US)
Title of host publication2017 26th International Conference on Computer Communications and Networks, ICCCN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509029914
DOIs
StatePublished - Sep 14 2017
Event26th International Conference on Computer Communications and Networks, ICCCN 2017 - Vancouver, Canada
Duration: Jul 31 2017Aug 3 2017

Publication series

Name2017 26th International Conference on Computer Communications and Networks, ICCCN 2017

Other

Other26th International Conference on Computer Communications and Networks, ICCCN 2017
CountryCanada
CityVancouver
Period7/31/178/3/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Management of Technology and Innovation
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Control and Optimization

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  • Cite this

    Ibrahim, M., Gruteser, M., Harras, K. A., & Youssef, M. (2017). Over-the-air TV detection using mobile devices. In 2017 26th International Conference on Computer Communications and Networks, ICCCN 2017 [8038448] (2017 26th International Conference on Computer Communications and Networks, ICCCN 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCCN.2017.8038448