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An investigation into event decay from large personal media archives

Doherty, Aiden R. and Gurrin, Cathal and Smeaton, Alan F. (2009) An investigation into event decay from large personal media archives. In: EIMM 2009 – 1st ACM International Workshop on Events in Multimedia, 23 October 2009, Beijing, China. (In Press)

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With the growth of digital lifelogging technologies there are challenges in terms of detecting and annotating real world events from this multimedia lifelog data. In this paper we use the SenseCam, a passively capturing wearable camera, worn around the neck, which captures about 3,000 photos per day, thereby creating a personal lifelog or visual recording of the wearer's life, which could be helpful as a human memory aid. For such a large amount of visual information to be of any value, it needs to be structured into semantic events. In this paper we are particularly interested in how a user's perceptions of real world events decays over time. In particular we investigate several questions including whether data owners have different perceptions of event boundaries to non-owners, whether the passage of time changes what we believe to be events and if so then do we forget about the weakly defined original events. We carry out these investigations using real visual lifelog data gathered and annotated, twice, by three users.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:lifelogging; SenseCam; event decay; personal life semantics;
Subjects:Computer Science > Lifelog
Computer Science > Information storage and retrieval systems
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:Association for Computing Machinery
Official URL:
Copyright Information:Copyright 2009 ACM
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:4722
Deposited On:31 Jul 2009 11:19 by Dr Aiden Doherty. Last Modified 25 Oct 2009 04:02

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