PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
Optimizing database architecture for the new bottleneck: memory access
The VLDB Journal — The International Journal on Very Large Data Bases
A Multi-faceted Browsing Interface for Digital Photo Collections
CBMI '09 Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
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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.