The neighborhood viewer: a paradigm for exploring image databases
Submitted by abrandt on Wed, 2009-03-25 09:50
| Title | The neighborhood viewer: a paradigm for exploring image databases |
| Publication Type | Conference Paper |
| Year of Publication | 1997 |
| Authors | Carlis, J. V., Safonov A., Perrin D., and Konstan J. A. |
| Conference Name | ACM SIGCHI Conference on Human Factors in Computing Systems |
| Conference Location | Atlanta, Georgia |
| Conference Start Date | 03/1997 |
| Publisher | Association for Computing Machinery |
| ISBN Number | 0-89791-926-2 |
| Keywords | brain neighborhood viewer, browsing, image databases, multi-resolution images, scientific visualization |
| 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. |
| DOI | http://doi.acm.org/10.1145/1120212.1120403 |
| Attachment | Size |
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| p299-carlis.pdf | 237.26 KB |