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Automated management of more than one million lifelog images

Doherty, Aiden R. and Smeaton, Alan F. (2007) Automated management of more than one million lifelog images. In: Seminar at the School of Computing and Intelligent Systems (SCIS) and Computer Science Research Institute (CSRI), University of Ulster, 21 December 2007, Derry, Northern Ireland.

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The SenseCam is a passively capturing wearable camera that captures approximately 2,500 images on average per day. This provides a user with an extensive visual diary. Possible applications making use of this device include helping dementia sufferers recall events from short-term memory, and also this device can be used by tourists to maintain an extensive image collection of particular trips. However a large image collection will quickly build up, with an average of 1 million images captured each year. This presents a considerable challenge in terms of managing such a large collection and to make it accessible for users. My research proposes to address this problem in 4 steps: 1) Identifying distinct events within the 2,500 images that are captured daily 2) Highlighting the most unique of those events 3) Finding similar events to a given event 4) Augmenting the low-quality images from the wearable camera with higher quality images from external sources.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Seminar
Subjects:Computer Science > Lifelog
Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
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:4653
Deposited On:30 Jun 2009 10:51 by Dr Aiden Doherty. Last Modified 26 Apr 2010 11:28

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