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Event Detection with Temporal Predicates
February 7 @ 3:00 pm - 4:00 pm
Speaker: Fabio Persia (Free University of Bozen-Bolzano, Italy)
Abstract: Human perception tends to group individual values into larger structures, this is also the case for time series data. This tendency inspired us to define an event-detection language based on time intervals, which combines timepoint-based events into larger structures. Complex events can then be defined on a more abstract level by specifying temporal relationships between different time intervals. As a result, we propose a system based on an extension of relational algebra (ISEQL, Interval-based Surveillance Event Query Language), enriched with powerful temporal operators and additional constraints, which is able to: (i) extend Allen’s interval relationships; (ii) support overlap percentage and cardinality constraints over the interval relationships; (iii) provide robustness with respect to small variations in the intervals; (iv) be more efficient than state-of-the-art approaches. With the help of intuitive and interactive graphical user interfaces, a user can also have a look at the different layers of our system to gain insights into the inner workings of the system, as well as create new events on the fly and track their processing through the system.
Bio: Fabio Persia is currently (since 2015) a Researcher/Assistant Professor (RTD/A) at the Faculty of Computer Science of the Free University of Bozen-Bolzano, Italy. He received the master’s and PhD degrees in Computer Engineering from the University of Naples “Federico II”, Italy, in 2009 and 2013, respectively, under the supervision of Professors Antonio Picariello and Vincenzo Moscato. During his PhD, he was visiting scholar at the University of Maryland, College Park (USA) for six months, under the supervision of Prof. V.S. Subrahmanian. He was also Postdoctoral Research Fellow at the Department of Electrical Engineering and Information Technology of the University of Naples “Federico II” from 2013 to 2015. His research interests include the fields of event detection and analysis in large scale databases applied to multimedia, semantic analysis and security, as demonstrated by several papers published in top journals (such as TKDE and TOIT) and conferences (IJCAI, EDBT, CIKM).