Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path in the plane with n vertices. We want to preprocess P into a data structure that can quickly count the number of inclusion-minimal subpaths of P whose Fréchet distance to a given query segment Q is at most some threshold value e. We present a data structure that solves an approximate version of this problem: it counts all subpaths whose Fréchet distance is at most e, but this count may also include subpaths whose Fréchet distance is up to (2+3v2)e. For any parameter n=s=n2, our data structure can be tuned such that it uses O(s polylog n) storage and has O((n/vs) polylog n) query time
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let T be a tree in Rd and let Δ>0 be a real number. The aim is to preprocess T into a data structure...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let T be a tree in Rd and let Δ>0 be a real number. The aim is to preprocess T into a data structure...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Inspired by video analysis of team sports, we study the following problem. Let P be a polygonal path...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let π be a trajectory in the plane, represented as a polyline with n edges. We show how to preproces...
Let T be a tree in Rd and let Δ>0 be a real number. The aim is to preprocess T into a data structure...