Handheld computing devices are becoming highly connected
devices with high capacity storage. This has resulted in their being able to support storage of, and access to, personal photo archives. However the only means for mobile device users to browse such archives is typically a simple one-by-one scroll through image thumbnails in the order that they were taken, or by manually organising them based on folders. In this paper we describe a system for context-based browsing of personal digital photo archives. Photos are labeled with the GPS location and time they are taken and this is used to derive other context-based metadata such as weather conditions and daylight conditions. We
present our prototype system for mobile digital photo retrieval, and an experimental evaluation illustrating the utility of location information for effective personal photo retrieval.
Ireland ->
Dublin City University ->
Publication Type = Conference or Workshop Item
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
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Dublin City University ->
Subject = Computer Science
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools
Ireland ->
Dublin City University ->
Status = Published
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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
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Gareth J. F. Jones,
Noel Murphy,
Alan F. Smeaton,
Neil OHare,
Hyowon Lee,
Cathal Gurrin