A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Sigma lenses: focus-context transitions combining space, time and translucence
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A review of overview+detail, zooming, and focus+context interfaces
ACM Computing Surveys (CSUR)
Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps
IEEE Transactions on Visualization and Computer Graphics
Mélange: Space Folding for Visual Exploration
IEEE Transactions on Visualization and Computer Graphics
High-precision magnification lenses
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
COCOON'03 Proceedings of the 9th annual international conference on Computing and combinatorics
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Hi-index | 0.00 |
We present a novel framework for performing distortion-oriented focus+context image magnification. Our framework uses algorithms from graph drawing to manipulate the mesh underlying an image. Specifically, we apply a spectral graph layout algorithm to a weighted graph, where vertices in the graph correspond to pixels in the image, and edges connect directly adjacent vertices/pixels. By assigning appropriate weights to the edges, we can replicate the results of previous distortion-oriented approaches. In addition, we can perform image-aware distortion by using pixel values to influence the edge weights of our graph. We compare our approach to previous methods and demonstrate new results using image-based edge weighting schemes.