MediaGLOW: organizing photos in a graph-based workspace

  • Authors:

  • Andreas Girgensohn;Frank Shipman;Lynn Wilcox;Thea Turner;Matthew Cooper

  • Affiliations:

  • FX Palo Alto Laboratory, Palo Alto, CA, USA;Texas A&M University, College Station, CA, USA;FX Palo Alto Laboratory, Palo Alto, CA, USA;FX Palo Alto Laboratory, Palo Alto, CA, USA;FX Palo Alto Laboratory, Palo Alto, CA, USA

  • Venue:
  • Proceedings of the 14th international conference on Intelligent user interfaces
  • Year:
  • 2009

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Abstract

We designed an interactive visual workspace, MediaGLOW, that supports users in organizing personal and shared photo collections. The system interactively places photos with a spring layout algorithm using similarity measures based on visual, temporal, and geographic features. These similarity measures are also used for the retrieval of additional photos. Unlike traditional spring-based algorithms, our approach provides users with several means to adapt the layout to their tasks. Users can group photos in stacks that in turn attract neighborhoods of similar photos. Neighborhoods partition the workspace by severing connections outside the neighborhood. By placing photos into the same stack, users can express a desired organization that the system can use to learn a neighborhood-specific combination of distances.