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PhotoCube: effective and efficient multi-dimensional browsing of personal photo collections

Grímur Tómasson 1, * Hlynur Sigurþórsson 1 Björn Þór Jónsson 1 Laurent Amsaleg 2 
* Corresponding author
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : It has never been so easy to take pictures, and personal image collections have never been so large. Unfortunately, most current photo browsers provide very limited support for effectively navigating image collections. This demonstration proposal describes PhotoCube, a personal image browser based on a multi-dimensional data model similar to the model used in OLAP applications. With PhotoCube, users can tag pictures, structure tags into various hierarchies, and browse images according to any possible perspective. We also describe three demonstration scenarios that show the power, flexibility and scalability of PhotoCube.
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Conference papers
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Submitted on : Friday, November 25, 2011 - 3:36:45 PM
Last modification on : Thursday, January 20, 2022 - 4:18:44 PM



Grímur Tómasson, Hlynur Sigurþórsson, Björn Þór Jónsson, Laurent Amsaleg. PhotoCube: effective and efficient multi-dimensional browsing of personal photo collections. 1st ACM International Conference on Multimedia Retrieval, Apr 2011, trento, Italy. ⟨10.1145/1991996.1992066⟩. ⟨hal-00644942⟩



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