@inproceedings{da08990fff614a01960413a178c9e233,
title = "Matching qualitative spatial scene descriptions {\'a} la Tabu",
abstract = "Matching spatial scene descriptions requires appropriate representations and algorithms based on the application at hand. This work outlines a simple model for matching qualitatively described spatial scenes extracted from sketch maps. Standard qualitative constraint networks are combined to provide a suitable qualitative representation for a sketched spatial scene. Two scenes are then matched using an implementation of the Tabu search metaheuristic, employing standard and specialised data structures. We give a detailed description of the representation and algorithm, and examine the performance of the model using an example dataset.",
keywords = "Qualitative constraint network, Spatial scene matching, Tabu search, ITC-CV",
author = "M. Chipofya and Angela Schwering and Talakisew Binor",
year = "2013",
month = nov,
doi = "10.1007/978-3-642-45111-9_34",
language = "English",
isbn = "9783642451102",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
number = "PART 2",
pages = "388--402",
editor = "F. Castro and A. Gelbukh and M. Gonzal{\'e}z",
booktitle = "Advances in Soft Computing and Its Applications",
note = "12th Mexican International Conference on Artificial Intelligence, MICAI 2013 ; Conference date: 24-11-2013 Through 30-11-2013",
}