• DocumentCode
    248371
  • Title

    Click and share: A face recognition tool for the mobile community

  • Author

    Casti, Sara ; Sorrentino, Fabio ; Spano, Lucio Davide ; Scateni, Riccardo

  • Author_Institution
    Dipt. di Mat. e Inf., Univ. of Cagliari Cagliari, Cagliari, Italy
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1952
  • Lastpage
    1956
  • Abstract
    In this paper, we describe an Android based application for mobile devices that allows users to quickly and easily identify faces in pictures, recognizing persons, and, thus, sharing pictures with them. Each identified person matches against a contact registered in the phone directory, and, if no match is found, the detected face can be used for the creation of a new contact. We discuss how face recognition in a mobile setting increases the efficiency of the users while sharing content created with the mobile device, automatically suggesting the people identified in a photo or a video. We show the effectiveness of the approach through a user test on a photo sharing task, showing that it reduces the need for tedious, in particular on mobile devices, user input (e.g., compared to Facebook). By this means, we envision an increase of the quality of the user experience when interacting with the components of her social network.
  • Keywords
    face recognition; mobile computing; smart phones; social networking (online); Android; Facebook; face recognition tool; mobile community; mobile devices; phone directory; photo sharing task; social network; Face; Face recognition; Facebook; Mobile communication; Mobile handsets; Performance evaluation; Android; Face recognition; content sharing; mobile computing; smartphone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025391
  • Filename
    7025391