ISEQL, an Interval-based Surveillance Event Query Language

Sven Helmer and Fabio Persia
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Sven Helmer: Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy
Fabio Persia: Free University of Bozen-Bolzano, Bolzano, Italy

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2016, vol. 7, issue 4, 1-21

Abstract: The authors propose ISEQL, a language based on relational algebra extended by intervals for detecting high-level surveillance events from a video stream. The operators they introduce for describing temporal constraints are based on the well-known Allen's interval relationships and we implemented on top of a PostgreSQL database system. The semantics of ISEQL are clearly defined, and the authors illustrate its usefulness by expressing typical events in it and showing the promising results of an experimental evaluation.

Date: 2016
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