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Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections
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Source Conference on Human Factors in Computing Systems archive
CHI '05 extended abstracts on Human factors in computing systems table of contents
Portland, OR, USA
SESSION: Late breaking results: short papers table of contents
Pages: 1937 - 1940  
Year of Publication: 2005
ISBN:1-59593-002-7
Authors
David F. Huynh  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Steven M. Drucker  Microsoft Research, Redmond, WA
Patrick Baudisch  Microsoft Research, Redmond, WA
Curtis Wong  Microsoft Research, Redmond, WA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 13
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ABSTRACT

In the absence of manual organization of large digital photo collections, the photos ' visual content and creation dates can help support time-based visual search tasks. Current zoomable photo browsers are designed to support visual searches by maximizing screenspace usage. However, their space-filling layouts fail to convey temporal order effectively. We propose a novel layout called time quilt that trades off screenss-pace usage for better presentation of temporal order. In an experimental comparison of space-filling, linear timeline, and time quilt layouts, participants carried out the task of finding photos in their personal photo collections averaging 4,000 items. They performed 45% faster on time quilt.Furthermore, while current zoomable photo browsers are designed for visual searches,this support does not scale to thousands of photos: individual thumbnails become less informative as they grow smaller. We found a subjective preference for the use of representative photos to provide an overview for visual searches in place of the diminishing thumbnails.


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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Kang, H. and B. Shneiderman. Visualization methods for personal photo collections: Browsing and searching in the PhotoFinder. Proc. IEEE Intl. Conf. on Multimedia and Expo, 2000.
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Platt, J. C., M. Czerwinski, and B. A. Field. PhotoTOC: Automatic Clustering for Browsing Personal Photographs. Tech nical Report MSR-TR-2002-17, Microsoft Research, 2002.
 
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Ringel, M., E. Cutrell, S. Dumais, and E. Horvitz. Milestones in Time: The Value of Landmarks in Retrieving Information from Personal Stores. Proc. INTERACT 2003.
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CITED BY  13

Collaborative Colleagues:
David F. Huynh: colleagues
Steven M. Drucker: colleagues
Patrick Baudisch: colleagues
Curtis Wong: colleagues