In lifelogging, as the volume of personal life archive data is ever increasing, we have to consider how to take advantage of a tool to extract or exploit valuable information from these personal life archives. In this work we motivate the need for, and present, a baseline search engine for personal life archives, which aims to make the personal life archive searchable, organizable and easy to be updated. We also present some preliminary results, which illustrate the feasibility of the baseline search engine as a tool for getting insights from personal life archives.
Ireland ->
Dublin City University ->
Subject = Computer Science: Information storage and retrieval systems
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Dublin City University ->
Status = Published
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Dublin City University ->
Subject = Computer Science: Multimedia systems
Ireland ->
Dublin City University ->
Status = In Press
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
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
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools
Ireland ->
Dublin City University ->
Subject = Computer Science: Lifelog
Ireland ->
Dublin City University ->
Subject = Computer Science: Information retrieval
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Mariella Dimiccoli,
Cathal Gurrin,
Hideo Joho,
Duc Tien Dang Nguyen,
Petia Radeva,
Xavier Giro-i-Nieto,
Liting Zhou