The neighborhood viewer: A paradigm for exploring image databases

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

doi:10.1145/1120212.1120403

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 proceeding › Conference 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 language	English (US)
Title of host publication	CHI 1997 Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publication	Looking to the Future, CHI EA 1997
Editors	Steven Pemberton
Publisher	Association for Computing Machinery
Pages	299-300
Number of pages	2
ISBN (Electronic)	0897919262
DOIs	https://doi.org/10.1145/1120212.1120403
State	Published - Mar 22 1997
Event	Conference on Human Factors in Computing Systems, CHI EA 1997 - Atlanta, United States Duration: Mar 22 1997 → Mar 27 1997

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	22-27-March-1997

Other

Other	Conference on Human Factors in Computing Systems, CHI EA 1997
Country/Territory	United States
City	Atlanta
Period	3/22/97 → 3/27/97

Keywords

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

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10.1145/1120212.1120403

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Carlis, J. V., Safonov, A., Perrin, D., & Konstan, J. A. (1997). The neighborhood viewer: A paradigm for exploring image databases. In S. Pemberton (Ed.), CHI 1997 Extended Abstracts on Human Factors in Computing Systems: Looking to the Future, CHI EA 1997 (pp. 299-300). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 22-27-March-1997). Association for Computing Machinery. https://doi.org/10.1145/1120212.1120403

The neighborhood viewer: A paradigm for exploring image databases. / Carlis, John V.; Safonov, Alex; Perrin, Douglas et al.
CHI 1997 Extended Abstracts on Human Factors in Computing Systems: Looking to the Future, CHI EA 1997. ed. / Steven Pemberton. Association for Computing Machinery, 1997. p. 299-300 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 22-27-March-1997).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Carlis, JV, Safonov, A, Perrin, D & Konstan, JA 1997, The neighborhood viewer: A paradigm for exploring image databases. in S Pemberton (ed.), CHI 1997 Extended Abstracts on Human Factors in Computing Systems: Looking to the Future, CHI EA 1997. Conference on Human Factors in Computing Systems - Proceedings, vol. 22-27-March-1997, Association for Computing Machinery, pp. 299-300, Conference on Human Factors in Computing Systems, CHI EA 1997, Atlanta, United States, 3/22/97. https://doi.org/10.1145/1120212.1120403

Carlis JV, Safonov A, Perrin D, Konstan JA. The neighborhood viewer: A paradigm for exploring image databases. In Pemberton S, editor, CHI 1997 Extended Abstracts on Human Factors in Computing Systems: Looking to the Future, CHI EA 1997. Association for Computing Machinery. 1997. p. 299-300. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/1120212.1120403

Carlis, John V. ; Safonov, Alex ; Perrin, Douglas et al. / The neighborhood viewer : A paradigm for exploring image databases. CHI 1997 Extended Abstracts on Human Factors in Computing Systems: Looking to the Future, CHI EA 1997. editor / Steven Pemberton. Association for Computing Machinery, 1997. pp. 299-300 (Conference on Human Factors in Computing Systems - Proceedings).

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The neighborhood viewer: A paradigm for exploring image databases

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