Demo: An out-of-band alternative to face recognition

Chuan Qin, Xuan Bao, Romit Roy Choudhury, Srihari Nelakuditi

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

Abstract

Smartphones are becoming the convergent platform for personal sensing, computing, and communication. Our work attempts to exploit this convergence towards the problem of automatic image tagging. We envision TagSense, a smartphone based collaborative system that senses the people/activity/context in a picture, and merges them carefully to create tags on-the-fly. The main challenge pertains to discriminating phone users that are in the picture, from those that are not. Our demonstration system consists of 8 Android phones and a laptop. Phones - with the TagSense application running - will be randomly distributed to participants. Once a picture is taken by a participant with the phone, tags generated by TagSense will be shown on the phone screen.

Original languageEnglish (US)
Title of host publicationMobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services and Co-located Workshops
Pages381
Number of pages1
DOIs
StatePublished - 2011
Externally publishedYes
Event9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops - Bethesda, MD, United States
Duration: Jun 28 2011Jul 1 2011

Publication series

NameMobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications and Services and Co-located Workshops

Other

Other9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops
Country/TerritoryUnited States
CityBethesda, MD
Period6/28/117/1/11

Keywords

  • face recognition
  • image tagging
  • sensing
  • smartphone

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Communication

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