Title
A context-aware solution to annotate people in mobile devices
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.
Year
DOI
Venue
2009
10.1145/1821748.1821775
MoMM
Keywords
Field
DocType
large increase,hit rate,comparative study,better method,mobile device,annotating people,digital photography,context-aware solution,digital libraries,metadata,digital library
Hit rate,Metadata,World Wide Web,Digital photography,Computer science,Mobile device,Digital library,Multimedia
Conference
Citations 
PageRank 
References 
2
0.39
15
Authors
6