Keynotes - VINCI 2022

Keynote

Prof. Dr. Kang Zhang

Computational Media and Arts, Hong Kong University of Science and Technology, China.
Find out more about Kang Zhang.

Aesthetic Measurement of Paintings

This talk will first introduce the recently emerging interdisciplinary research topics of computational aesthetics and aesthetic computing, and discuss their difference and complementary roles. We will then focus on computational aesthetics, in particular, on the aesthetic measurement of paintings. Based on the mathematician Birkhoff's 1933 seminal theory of aesthetic measurement, we measure the white space usage in Master Wu Guanzhong's paintings, and the complexity of Chinese ink paintings. We then report our latest work on the visual order of both Chinese ink paintings and Western styled oil paintings and compare their commonality and differences, possibly influenced by different cultural backgrounds. If time permits, we will mention our recent efforts in generating abstract images of styles of Kandinsky, Miro, Pollock, and Picasso, and floor plan generation.

Biography

Kang Zhang is a Professor of Computational Media and Arts, Hong Kong University of Science and Technology (Guangzhou), and Professor Emeritus of Computer Science, The University of Texas at Dallas. He was a Fulbright Distinguished Chair and an ACM Distinguished Speaker, and held academic positions in China, the UK, Australia and USA. He received his B.Eng. in Computer Engineering from University of Electronic Science and Technology of China in 1982, Ph.D. from the University of Brighton, UK, in 1990, and Executive MBA from the University of Texas at Dallas in 2011. Zhang's current research interests include computational aesthetics, visual languages, and software engineering; and has published 8 books, and over 100 journal papers in these areas. He has delivered keynotes at art and design, computer science, and management conferences, and is on the editorial boards of Journal of Big Data, The Visual Computer, Journal of Visual Language and Computing, International Journal of Software Engineering and Knowledge Engineering, International Journal of Advanced Intelligence, Visual Computing for Industry, Biomedicine, and Art, and Chinese Journal of Software.

Keynote

Prof. Dr. Tobias Schreck

Institute of Computer Graphics and Knowledge Visualization, TU Graz.
Find out more about Tobias Schreck.

Visual Analytics for Industrial Data Analysis

Visual Analytics approaches combine interactive data visualizations with data analysis algorithms to help domain experts to explore, understand and make sense of large and complex data sets. An interesting, challenging field of application is the analysis of industrial data. In modern production processes, increasingly large amounts of different kinds of data are collected, which need to be understood, explored, and applied to support decision making and process improvements. We introduce a number of key data analysis tasks in industrial data analysis, and discuss selected solutions we developed in design studies together with industrial data analysis experts. The examples show how to support tasks including anomaly detection in time-series data, correlation of patterns in end-of-line test data, and visual comparison of classifiers for test procedures. Besides the typical desktop workstation environment, we also discuss approaches based on immersive visualization and eye-tracking interactions for support of visual data analysis tasks. We conclude the talk by discussing a number of future research challenges.

Biography

Tobias Schreck is a professor and head of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His research interests include visual analytics, information visualization, and applied 3D object retrieval. He received his Ph.D. degree in computer science from the University of Konstanz, Germany in 2006. Previously, he was an Assistant Professor with the University of Konstanz, and a Postdoc researcher with the Technical University of Darmstadt, Germany. He serves as a Papers Co-Chair for the EG Conference on Visualization (EuroVis) 2022 and 2023, and he previously served as Associate Editor for IEEE TVCG 2018-2021, and as Papers Co-Chair for IEEE VAST 2017 and 2018. Tobias Schreck is a scientific partner in the Austrian FFG COMET Centre on Products and Production of the Future. He has led a number of research projects, and he currently coordinates the Austrian FWF Research Group on Human-Centered Interactive Adaptive Visual approaches in High-Quality Health Information.