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MediaGLOW: organizing photos in a graph-based workspace

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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents

Sanibel Island, Florida, USA

SESSION: Short papers table of contents

Pages 419-424

Year of Publication: 2009

ISBN:978-1-60558-168-2

Authors

Andreas Girgensohn	FX Palo Alto Laboratory, Palo Alto, CA, USA
Frank Shipman	Texas A&M University, College Station, CA, USA
Lynn Wilcox	FX Palo Alto Laboratory, Palo Alto, CA, USA
Thea Turner	FX Palo Alto Laboratory, Palo Alto, CA, USA
Matthew Cooper	FX Palo Alto Laboratory, Palo Alto, CA, USA

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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