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Authors: Antonio d'Acierno 1 ; Marco Leone 2 ; Alessia Saggese 2 and Mario Vento 2

Affiliations: 1 National Research Council, Italy ; 2 University of Salerno, Italy

ISBN: 978-989-8565-29-7

Keyword(s): Spatio-temporal Queries, Spatio-temporal Data Indexing, Information Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pre-Processing and Post-Processing for Data Mining ; Software Development ; Symbolic Systems

Abstract: Moving people’s and objects’ trajectories extracted from video sequences are increasingly assuming a key role for detecting anomalous events and for characterizing human behaviors. Among the key related issues, there is the need of efficiently storing a huge amount of 3D trajectories together with retrieval techniques sufficiently fast to allow a real-time extraction of trajectories satisfying spatio-temporal requirements. Unfortunately, while exist well established solutions for 2D trajectories, theoretical solutions proposed for 3D ones are not widely available in commercial and free spatially enabled DBMS; the paper thus presents a novel method for extending available 2D indexes to 3D data. In particular, starting from a redundant bi-dimensional indexing scheme recently introduced in (d’Acierno et al., 2011), we propose a new retrieval system that, while still using off-the-shelf solutions, avoids almost any redundancy in data to be handled; both the spatial complexity and the retr ieval efficiency for time-interval queries have been significantly improved. (More)

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Paper citation in several formats:
d'Acierno, A.; Leone, M.; Saggese, A. and Vento, M. (2012). An Efficient Strategy for Spatio-temporal Data Indexing and Retrieval.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 227-232. DOI: 10.5220/0004137102270232

@conference{kdir12,
author={Antonio d'Acierno. and Marco Leone. and Alessia Saggese. and Mario Vento.},
title={An Efficient Strategy for Spatio-temporal Data Indexing and Retrieval},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004137102270232},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - An Efficient Strategy for Spatio-temporal Data Indexing and Retrieval
SN - 978-989-8565-29-7
AU - d'Acierno, A.
AU - Leone, M.
AU - Saggese, A.
AU - Vento, M.
PY - 2012
SP - 227
EP - 232
DO - 10.5220/0004137102270232

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