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

Published:18 April 2011Publication History

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.

References

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  2. B. B. Bederson. PhotoMesa: A zoomable image browser using quantum treemaps and bubblemaps. In Proc. UIST, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. H. Kang and B. Shneiderman. Visualization methods for personal photo collections: Browsing and searching in the PhotoFinder. In Proc. ICME, 2000.Google ScholarGoogle Scholar
  4. S. Manegold, P. A. Boncz, and M. L. Kersten. Optimizing database architecture for the new bottleneck: Memory access. VLDB Journal, 9(3), 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. G. Tómasson. ObjectCube -- A generic multi-dimensional model for media browsing. Master's thesis, Reykjavik University, Iceland, 2011.Google ScholarGoogle Scholar

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

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      • Published in

        cover image ACM Conferences
        ICMR '11: Proceedings of the 1st ACM International Conference on Multimedia Retrieval
        April 2011
        512 pages
        ISBN:9781450303361
        DOI:10.1145/1991996

        Copyright © 2011 Copyright is held by the owner/author(s)

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 18 April 2011

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