A context-aware solution to annotate people in mobile devices

  • Authors:

  • Hugo Feitosa de Figueirêdo;Ricardo Madeira Fernandes;Luciana Cavalcante de Menezes;Cláudio de Souza Baptista;Yuri Almeida Lacerda;Anselmo Cardoso de Paiva

  • Affiliations:

  • University of Campina Grande, Universitário Campina Grande -- PB, Brazil;University of Campina Grande, Universitário Campina Grande -- PB, Brazil;University of Campina Grande, Universitário Campina Grande -- PB, Brazil;University of Campina Grande, Universitário Campina Grande -- PB, Brazil;Federal Institute of Education, Chico Cajá, Pau dos Ferros - RN, Brazil;University of the Maranhão, SN, São Luís -- MA, Brazil

  • Venue:
  • Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
  • Year:
  • 2009

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Abstract

Recently, digital photography is definitely becoming very popular. Thus, there is a large increase in the number of captured photos, which demands better methods to manage this data. An approach is to allow the user to annotate some information in those photos, for instance, the people who appear in them. In this paper, two solutions are proposed in order to assist the user in the process of annotating people in photos, using mobile devices. The first one, called on-line, accesses a server to produce the results and the other one, called off-line, utilizes the mobile device itself to compute the results. Finally, a comparative study between the solutions, using parameters such as hit rate and performance, is presented.