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Automatically augmenting lifelog events using pervasively generated content from millions of people

Doherty, Aiden R. and Smeaton, Alan F. (2010) Automatically augmenting lifelog events using pervasively generated content from millions of people. Sensors, 10 (3). pp. 1423-1446. ISSN 1424-8220

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Abstract

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.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:lifelog event augmentation;
Subjects:Computer Science > Interactive computer systems
Computer Science > Lifelog
Computer Science > Artificial intelligence
Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Information retrieval
Computer Science > World Wide Web
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Molecular Diversity Preservation International (MDPI)
Official URL:http://dx.doi.org/10.3390/s100301423
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15300
Deposited On:15 Mar 2010 09:41 by Dr Aiden Doherty. Last Modified 15 Mar 2010 09:41

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