The neighborhood viewer: A paradigm for exploring image databases

John V. Carlis, Alex Safonov, Douglas Perrin, Joseph A. Konstan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Brain Neighborhood Viewer is a tool developed to help neuroscientists explore massive databases of brain images. The viewer implements an interface paradigm based on stacks of 2D images that are "yoked together" to provide a common coordinate system. When a user navigates in an image stack, all yoked stacks are updated to display the same location, which we call a brain neighborhood. Experience with the neighborhood suggests that this interface is useful for neuroscience research.

Original languageEnglish (US)
Title of host publicationCHI 1997 Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationLooking to the Future, CHI EA 1997
EditorsSteven Pemberton
PublisherAssociation for Computing Machinery
Pages299-300
Number of pages2
ISBN (Electronic)0897919262
DOIs
StatePublished - Mar 22 1997
EventConference on Human Factors in Computing Systems, CHI EA 1997 - Atlanta, United States
Duration: Mar 22 1997Mar 27 1997

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume22-27-March-1997

Other

OtherConference on Human Factors in Computing Systems, CHI EA 1997
CountryUnited States
CityAtlanta
Period3/22/973/27/97

Keywords

  • Brain neighborhood viewer
  • Browsing
  • Image databases
  • Multi-resolution images
  • Scientific visualization

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