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Intelligent image processing techniques for structuring a visual diary

Doherty, Aiden R. and Smeaton, Alan F. (2006) Intelligent image processing techniques for structuring a visual diary. In: SSMS 2006 - Summer School on Multimedia Semantics - Analysis, Annotation, Retrieval, and Applications,, 4-8 September 2006, Chalkidiki, Greece.

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Abstract

The SenseCam is a small wearable personal device which automatically captures up to 3,500 images per day. This yields a very large personal collection of images or in a sense, a diary of a person's day. Over one million images will need to be stored each year, therefore intelligent techniques are necessary for the effective searching and browsing of this image collection for important or significant events in a person's life, and one of the issues is how to detect and then relate similar events in a lifetime. This is necessary in order to detect unusual or once-off events, as well as determining routine activities. This poster will present the various sources of data that can be collected with a SenseCam device, and also other sources that can be collected to compliment the SenseCam data sources. Different forms of image processing that can be carried out on this large set of images will be detailed, specifically how to detect what images belong to individual events, and also how similar various events are to each other. There will be hundreds of thousands of images of everyday routines; as a result more memorable events are quite likely to be significantly different to other normal reoccurring events.

Item Type:Conference or Workshop Item (Poster)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:SenseCam;
Subjects:Computer Science > Lifelog
Computer Science > Information storage and retrieval systems
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)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:SSMS 2006 - Summer School on Multimedia Semantics - Analysis, Annotation, Retrieval, and Applications,. .
Official URL:http://mklab.iti.gr/ssms2006/
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:15028
Deposited On:26 Nov 2009 13:52 by Aiden Doherty. Last Modified 26 Nov 2009 13:52

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