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
Link To Document :
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