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Structuring and augmenting a visual personal diary

Doherty, Aiden R. and Smeaton, Alan F. (2008) Structuring and augmenting a visual personal diary. In: VGV08 - Irish Graduate Student Symposium on Vision, Graphics and Visualisation, 5 June 2008, Trinity College, Dublin, Ireland.

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Abstract

This paper refers to research in the domain of visual lifelogging, whereby individuals capture much of their lives using digital cameras. The potential benefits of lifelogging include: applications to review tourist trips, memory aid applications, learning assistants, etc. The SenseCam, developed by Microsoft Research in Cambridge, UK, is a small wearable device which incorporates a digital camera and onboard sensors (motion, ambient temperature, light level, and passive infrared to detect presence of people). 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 withing 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
Refereed:Yes
Uncontrolled Keywords:SenseCam;
Subjects:Computer Science > Lifelog
Computer Science > Image processing
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
Published in:VGV08 - Irish Graduate Student Symposium on Vision, Graphics and Visualisation. .
Official URL:https://www.cs.tcd.ie/VGV08/VGV08.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Science Foundation Ireland, Irish Research Council for Science Engineering and Technology
ID Code:15026
Deposited On:26 Nov 2009 10:03 by Aiden Doherty. Last Modified 26 Nov 2009 10:03

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