Type

Conference Proceedings

Authors

Alan F. Smeaton
Gareth J. F. Jones
Cees G.M. Snoek
Aiden R. Doherty
Daragh Byrne

Subjects

Computer Science

Topics
semantic concept detection novel the supervised machine learning lifelog low level visual features sensecam everyday concepts image processing

Validating the detection of everyday concepts in visual lifelogs (2008)

Abstract The Microsoft SenseCam is a small lightweight wearable camera used to passively capture photos and other sensor readings from a use s day-today activities. It can capture up to 3,000 images per day, equating to almost 1 million images per year. It is used to aid memory by creating a personal multimedia lifelog, or visual recording of the wearer s life. However the sheer volume of image data captured within a visual lifelog creates a number of challenges, particularly for locating relevant content. Within this work, we explore the applicability of semantic concept detection, a method often used within video retrieval, on the novel domain of visual lifelogs. A concept detector models the correspondence between low-level visual features and highlevel semantic concepts (such as indoors, outdoors, people, buildings, etc.) using supervised machine learning. By doing so it determines the probability of a concept s presence. We apply detection of 27 everyday semantic concepts on a lifelog collection composed of 257,518 SenseCam images from 5 users. The results were then evaluated on a subset of 95,907 images, to determine the precision for detection of each semantic concept and to draw some interesting inferences on the lifestyles of those 5 users. We additionally present future applications of concept detection within the domain of lifelogging.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres
Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Alan F. Smeaton, Gareth J. F. Jones, Cees G.M. Snoek, Aiden R. Doherty, Daragh Byrne

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 450
 
2
Gareth J. F. Jones
Dublin City University
Total Publications: 265
 
3
Cees G.M. Snoek
Dublin City University
Total Publications: 3
 
4
Aiden R. Doherty
Dublin City University
Total Publications: 67
 
5
Daragh Byrne
Dublin City University
Total Publications: 51