Abstract

In this paper we introduce a novel technique to discover groups of users sharing the same environment: a room, an office, a car. Using a smartphone device, we propose a method based on the joint usage of GPS and acoustic fingerprints, allowing to greatly improve the precision of GPS only group detection. To reach the objective, we use a novel variation of an existing audio fingerprinting algorithm with good noise tolerance, assessing it under several conditions. The method is shown to be especially effective for groups of listeners of audio and audio visual content. We finally propose an application of the method to deliver content recommendations for a specific use case, hybrid content radio, an adaptive radio service discussed in the European Broadcasting Union, allowing the enrichment of traditional broadcast linear radio with personalized and context-aware audio content.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479970797
DOIs
Publication statusPublished - Jul 28 2015
Event2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 - Turin, Italy
Duration: Jun 29 2015Jul 3 2015

Other

Other2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
CountryItaly
CityTurin
Period6/29/157/3/15

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Keywords

  • Audience discovery
  • Audio fingerprinting
  • contextual recommendation
  • group detection
  • group recommendation
  • hybrid content radio

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Media Technology

Cite this

Casagranda, P., Sapino, M. L., & Candan, K. (2015). Audio assisted group detection using smartphones. In 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 [7169764] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEW.2015.7169764