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it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Conrad, Stefan / Molitor, Paul

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Online
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2196-7032
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Volume 57, Issue 1

Issues

Visual analytics for video applications

Pattreeya Tanisaro / Julius Schöning / Kuno Kurzhals / Gunther Heidemann / Daniel Weiskopf
Published Online: 2015-01-30 | DOI: https://doi.org/10.1515/itit-2014-1072

Abstract

In this article, we describe the concept of video visual analytics with a special focus on the reasoning process in the sensemaking loop. To illustrate this concept with real application scenarios, two visual analytics (VA) tools are discussed in detail that cover the sensemaking process: (i) for video surveillance, and (ii) for eye-tracking data analysis. Surveillance data (i) allow discussion of key VA topics such as browsing and playback, situational awareness, and the deduction of reasoning. Using example (ii) – eye tracking data from persons watching video – we review application features such as the spatio-temporal visualization along with clustering, and identification of attentional synchrony between participants. We examine how these features can support the VA process. Based on this, open challenges in video VA will be discussed.

Keywords: Visual analytics; video data; video surveillance; eye tracking; sensemaking

ACM CCS: Human-centered computing→Visualization→Visualization application domains→Visual analytics

About the article

Pattreeya Tanisaro

Pattreeya Tanisaro received her bachelor of Electrical Engineering from Khon Kaen University, Thailand and earned her master degree in Computational Science from Goethe-University Frankfurt. Since 2013, she has been doing her Ph.D at the Institute of Cognitive Science, Osnabrück University.

University of Osnabrück, Institute of Cognitive Science (IKW), D-49076 Osnabrück

Julius Schöning

Julius Schöning received his master of science in intelligent embedded Microsystems from the University of Freiburg in 2013. In parallel he work since 2009 as software requirement engineer for HMI-Systems at the company CLAAS in Harsewinkel. Since 2014 he joined the Institute of Cognitive Science at the University of Osnabrück.

University of Osnabrück, Institute of Cognitive Science (IKW), D-49076 Osnabrück

Kuno Kurzhals

Kuno Kurzhals received the Diplom degree in Computer Science at the University of Stuttgart, Germany in 2012. As a research assistant he is working at the Visualization Research Center (VISUS) at the University of Stuttgart. His main research interests are eye tracking, visualization, visual analytics, and computer vision. A specific focus of his research is on developing new visualization methods to analyze eye movement data from dynamic stimuli.

University of Stuttgart, Visualization Research Center (VISUS), D-70569 Stuttgart

Gunther Heidemann

Gunther Heidemann received the Diploma degree in physics from the University of Karlsruhe, and the doctorate degree in computer science from the University of Bielefeld, Germany. He held positions as assistant professor in computer engineering at the Florida State University and the Florida A&M University in Tallahassee, and as professor of computer science at the University of Stuttgart, Germany. Currently he is a professor of cognitive science at the University of Osnabrück, Germany.

University of Osnabrück, Institute of Cognitive Science (IKW), D-49076 Osnabrück

Daniel Weiskopf

Daniel Weiskopf received the Diplom (MSc) degree in physics and the Dr. rer. nat. (PhD) degree in physics, both from Eberhard-Karls-Universität Tübingen, Germany, and he received the Habilitation degree in computer science at the University of Stuttgart, Germany. Since 2007, he has been a professor of computer science at the Visualization Research Center (VISUS) and the Visualization and Interactive Systems Institute (VIS) at the University of Stuttgart.

University of Stuttgart, Visualization Research Center (VISUS), D-70569 Stuttgart


Revised: 2014-11-03

Accepted: 2014-12-05

Received: 2014-07-18

Published Online: 2015-01-30

Published in Print: 2015-02-28


Citation Information: it - Information Technology, Volume 57, Issue 1, Pages 30–36, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2014-1072.

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