Document Type
Article
Publication Date
10-1-2015
Abstract
Abstract Given a stream of rectangles over a discrete space, we consider the problem of computing the total number of distinct points covered by the rectangles. This is the discrete version of the two-dimensional Klee's measure problem for streaming inputs. Given 0 < ∈, δ < 1, we provide (∈, δ)-approximations for bounded side length rectangles and for bounded aspect ratio rectangles. For the case of arbitrary rectangles, we provide an O(Formula presented.)-approximation, where U is the total number of discrete points in the two-dimensional space. The time to process each rectangle and the total required space are polylogarithmic in U. The time to answer a query for the total area is constant. We construct efficient transformation techniques that project rectangle areas to one-dimensional ranges and then use a streaming algorithm for the one-dimensional Klee's measure problem to obtain these approximations. The projections are deterministic, and to our knowledge, these are the first approaches of this kind that provide efficiency and accuracy trade-offs in the streaming model.
Publication Source (Journal or Book title)
Computational Geometry: Theory and Applications
First Page
688
Last Page
702
Recommended Citation
Sharma, G., Busch, C., Vaidyanathan, R., Rai, S., & Trahan, J. (2015). Efficient transformations for Klee's measure problem in the streaming model. Computational Geometry: Theory and Applications, 48 (9), 688-702. https://doi.org/10.1016/j.comgeo.2015.06.007