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Organising a large quantity of lifelog images

Doherty, Aiden R. orcid logoORCID: 0000-0003-4395-7702 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2008) Organising a large quantity of lifelog images. In: SSMS 2008 - Summer School on Multimedia Semantics - Analysis, Annotation, Retrieval, and Applications, 1-5 September 2008, Crete, Greece.

Preliminary research indicates that a visual recording of one’s activities may be beneficial for sufferers of neurodegenerative diseases. However there exists a number of challenges in managing the vast quantities of data generated by lifelogging devices such as the SenseCam. Our work concentrates on the following areas within visual lifelogging: Segmenting sequences of images into events (e.g. breakfast, at meeting); retrieving similar events (“what other times was I at the park?”); determining most important events (meeting an old friend is more important than breakfast); selection of ideal keyframe to provide an event summary; and augmenting lifeLog events with images taken by millions of users from ‘Web 2.0’ websites (“show me other pictures of the Statue of Liberty to augment my own lifelog images”).
Item Type:Conference or Workshop Item (Poster)
Event Type:Workshop
Uncontrolled Keywords:SenseCam;
Subjects:Computer Science > Lifelog
Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > World Wide Web
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > Adaptive Information Cluster (AIC)
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:http://www.mesh-ip.eu/ssms08.aspx?page=ssms08
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Irish Research Council for Science Engineering and Technology
ID Code:15027
Deposited On:26 Nov 2009 12:19 by Aiden Doherty . Last Modified 04 Oct 2018 11:29

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