@Article{CarlesFernandez2011,
author="Carles Fernandez
and Pau Baiget
and Xavier Roca
and Jordi Gonzalez",
title="Determining the Best Suited Semantic Events for Cognitive Surveillance",
journal="Expert Systems with Applications",
year="2011",
publisher="Elsevier",
volume="38",
number="4",
pages="4068--4079",
optkeywords="Cognitive surveillance",
optkeywords="Event modeling",
optkeywords="Content-based video retrieval",
optkeywords="Ontologies",
optkeywords="Advanced user interfaces",
abstract="State-of-the-art systems on cognitive surveillance identify and describe complex events in selected domains, thus providing end-users with tools to easily access the contents of massive video footage. Nevertheless, as the complexity of events increases in semantics and the types of indoor/outdoor scenarios diversify, it becomes difficult to assess which events describe better the scene, and how to model them at a pixel level to fulfill natural language requests. We present an ontology-based methodology that guides the identification, step-by-step modeling, and generalization of the most relevant events to a specific domain. Our approach considers three steps: (1) end-users provide textual evidence from surveilled video sequences; (2) transcriptions are analyzed top-down to build the knowledge bases for event description; and (3) the obtained models are used to generalize event detection to different image sequences from the surveillance domain. This framework produces user-oriented knowledge that improves on existing advanced interfaces for video indexing and retrieval, by determining the best suited events for video understanding according to end-users. We have conducted experiments with outdoor and indoor scenes showing thefts, chases, and vandalism, demonstrating the feasibility and generalization of this proposal.",
optnote="ISE",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1722), last updated on Tue, 18 Nov 2014 09:49:27 +0100",
doi="10.1016/j.eswa.2010.09.070",
file=":http://refbase.cvc.uab.es/files/FBR2011a.pdf:PDF"
}