While vast volumes of personal data are being gathered daily by individuals, the MMM community has not really been tackling the challenge of developing novel retrieval algorithms for this data, due to the challenges of getting access to the data in the first place. While initial efforts have taken place on a small scale, it is our conjecture that a new evaluation paradigm is required in order to make progress in analysing, modeling and retrieving from personal data archives. In this position paper, we propose a new model of Evaluation-as-a-Service that re-imagines the test collection methodology for personal multimedia data in order to address the many challenges of releasing test collections of personal multimedia data.
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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 ->
DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
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Dublin City University ->
Subject = Computer Science
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Dublin City University ->
Status = Published
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Subject = Computer Science: Lifelog
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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
Hideo Joho,
Cathal Gurrin,
Frank Hopfgartner