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IsoMatch: Creating Informative Grid Layouts
Author(s) -
Fried O.,
DiVerdi S.,
Halber M.,
Sizikova E.,
Finkelstein A.
Publication year - 2015
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12549
Subject(s) - computer science , automatic summarization , grid , visualization , representation (politics) , pairwise comparison , infographic , computer graphics (images) , hierarchy , measure (data warehouse) , theoretical computer science , information retrieval , data mining , artificial intelligence , mathematics , geometry , politics , political science , economics , law , market economy
Collections of objects such as images are often presented visually in a grid because it is a compact representation that lends itself well for search and exploration. Most grid layouts are sorted using very basic criteria, such as date or filename. In this work we present a method to arrange collections of objects respecting an arbitrary distance measure. Pairwise distances are preserved as much as possible, while still producing the specific target arrangement which may be a 2D grid, the surface of a sphere, a hierarchy, or any other shape. We show that our method can be used for infographics, collection exploration, summarization, data visualization, and even for solving problems such as where to seat family members at a wedding. We present a fast algorithm that can work on large collections and quantitatively evaluate how well distances are preserved.