A Multi-Dimensional Data Model for Personal Photo Browsing

Abstract : Digital photo collections—personal, professional, or social— have been growing ever larger, leaving users overwhelmed. It is there- fore increasingly important to provide effective browsing tools for photo collections. Learning from the resounding success of multi-dimensional analysis (MDA) in the business intelligence community for On-Line Ana- lytical Processing (OLAP) applications, we propose a multi-dimensional model for media browsing, called M^3, that combines MDA concepts with concepts from faceted browsing. We present the data model and describe preliminary evaluations, made using server and client prototypes, which indicate that users find the model useful and easy to use.
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Conference papers
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https://hal.inria.fr/hal-01083344
Contributor : Laurent Amsaleg <>
Submitted on : Monday, November 17, 2014 - 10:31:29 AM
Last modification on : Thursday, November 15, 2018 - 11:58:51 AM

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  • HAL Id : hal-01083344, version 1

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Björn Thór Jónsson, Grímur Tómasson, Hlynur Sigurþórsson, Áslaug Eríksdóttir, Laurent Amsaleg, et al.. A Multi-Dimensional Data Model for Personal Photo Browsing. International Conference on Multimedia Modelling, 2015, Sydney, Australia. 〈hal-01083344〉

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