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Collection understanding shifts the traditional
focus of image retrieval in large collections from locating specific
images to gaining a comprehensive view of the collection. Users visualize
the collection by changing metadata values dynamically to create their
own understanding of the collection. As users narrow or expand their
view, they acquire the general gist of why the images belong to the
collection and what characteristics the images share.
When
users interactively filter metadata and perceive varying viewpoints
of the images, they are then inspired to derive their own relationships
among the images and come to a fuller understanding of the collection.
Through
novel visualizations, users will be able to efficiently understand what
specific collections have to offer. Collection insight will increase
and this will enhance information access, making digital collections
more valuable knowledge assets.
JCDL 2004 Slides
Tucson, Arizona, June 7-11, 2004
Thesis
(Word)
Thesis
Defense Slides (Powerpoint)
Thesis
Proposal: Collection Understanding (Word)
JCDL
2003 IVIRA Workshop http://vw.indiana.edu/ivira03/
Houston, Texas, May 2003
Chang, Michelle; Leggett, John. “Collection Understanding Through
Streaming Collage”
(Word, Adobe
PDF)
Collection
Understanding Presentation Slides
(Powerpoint)

Figure
1: Collection Understanding: Ambient Picasso

Figure 2: Collection Understanding:
Picasso Collage
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