%0 Journal Article
%T Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People
%A Aiden R. Doherty
%A Alan F. Smeaton
%J Sensors
%D 2010
%I MDPI AG
%R 10.3390/s100301423
%X In sensor research we take advantage of additional contextual sensor information to disambiguate potentially erroneous sensor readings or to make better informed decisions on a single sensor¡¯s output. This use of additional information reinforces, validates, semantically enriches, and augments sensed data. Lifelog data is challenging to augment, as it tracks one¡¯s life with many images including the places they go, making it non-trivial to find associated sources of information. We investigate realising the goal of pervasive user-generated content based on sensors, by augmenting passive visual lifelogs with ¡°Web 2.0¡± content collected by millions of other individuals.
%K lifelogging
%K event augmentation
%K SenseCam
%K Web 2.0
%U http://www.mdpi.com/1424-8220/10/3/1423