Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections

  • Authors:
  • David F. Huynh;Steven M. Drucker;Patrick Baudisch;Curtis Wong

  • Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA

  • Venue:
  • CHI '05 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2005

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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.