Type

Conference Proceedings

Authors

Heather J. Ruskin
Cathal Gurrin
Martin Crane
Na Li

Subjects

Computer Science

Topics
time series algorithms image processing machine learning mathematical physics state of the art lifelog information retrieval

Finding motifs in larger personal lifelogs (2016)

Abstract The term Visual Lifelogging is used to describe the process of tracking personal activities by using wearable cameras. A typical example of wearable cameras is Microsoft’s SenseCam that can capture vast personal archives per day. A significant challenge is to organise and analyse such large volumes of lifelogging data. State-of-the-art techniques use supervised machine learning techniques to search and retrieve useful information, which requires prior knowledge about the data. We argue that these so-called rule-based and concept-based techniques may not offer the best solution for analysing large and unstructured collections of visual lifelogs. Treating lifelogs as time series data, we study in this paper how motifs techniques can be used to identify repeating events. We apply the Minimum Description Length (MDL) method to extract multi dimensional motifs in time series data. Our initial results suggest that motifs analysis provides a useful probe for identification and interpretation of visual lifelog features, such as frequent activities and events.
Collections 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 -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> Subject = Mathematics: Mathematical physics
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> Subject = Computer Science: Algorithms
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning

Full list of authors on original publication

Heather J. Ruskin, Cathal Gurrin, Martin Crane, Na Li

Experts in our system

1
Heather J. Ruskin
Dublin City University
Total Publications: 63
 
2
Cathal Gurrin
Dublin City University
Total Publications: 182
 
3
Martin Crane
Dublin City University
Total Publications: 47
 
4
Na Li
Dublin City University
Total Publications: 11