Fast and Flexible Overlap Detection for Chart Labeling with Occupancy Bitmap

2020 IEEE Visualization Conference (VIS)(2020)

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摘要
Legible labels should not overlap with other marks in a chart. The state-of-the-art labeling algorithm detects overlaps using a set of points to approximate each mark's shape. This approach is inefficient for large marks or many marks as it requires too many points to detect overlaps. In response, we present a Bitmap-Based label placement algorithm, which leverages occupancy bitmap to accelerate overlap detection. To create an occupancy bitmap, we rasterize marks onto a bitmap based on the area they occupy in the chart. With the bitmap, we can efficiently place labels without overlapping existing marks, regardless of the number and geometric complexity of the marks. This Bitmap-Based algorithm offers significant performance improvements over the state-of-the-art approach while placing a similar number of labels.
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关键词
Human-centered computing,Visualization,Visualization techniques,Information Visualization
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