Seminar: The Complexity of Video Visualization
November 19, 2007
VIVARIUM Seminar Series presents...
Title: The Complexity of Video Visualization
Swansea University, UK
Location: TASC 9204 West
Date: 19 November, 2007 @ 15.30
Video visualization is a computation process that extracts meaningful information from original video data sets. Such visualizations can convey much more information, especially spatial-temporal information, than a few statistical indicators. With carefully prepared visualizations, the human vision system, perhaps the most intelligent vision system, is able to become accustomed to certain kinds of “normal” visual patterns, and react to unusual levels or patterns of activities that need further investigation.
In this talk, the speaker will give an overview of the state of the art of video processing and video visualization, and compare the general complexity of a computation pipeline for video processing with that for video visualization. The speaker will also briefly present the recent work, carried out jointly by Swansea and Stuttgart. He will describe the use of combination of volume and flow techniques for video visualization, a user study to examine whether users are able to learn to recognize visual signatures of motions, and to assist in the evaluation of different visualization techniques, and the application of the developed techniques to a set of application video clips. This work has demonstrated that video visualization is both technically feasible and cost-effective. It provided the first set of evidence confirming that ordinary users can accustom to the visual features depicted in video visualizations, and can learn to recognize visual signatures of a variety of motion events.
Bio: Min Chen received his B.Sc. degree in Computer Science from Fudan University in 1982, and his Ph.D. degree from University of Wales in 1991. He is currently a professor in Department of Computer Science, University of Wales Swansea. In 1990, he took up a lectureship in Swansea. He became a senior lecturer in 1998, and was awarded a personal chair (professorship) in 2001. His main research interests include visualization, computer graphics and interactive computing. His has published over ninety refereed research papers, including his recent contributions in areas of volume graphics and video visualization. He is a fellow of British Computer Society, and a member of the IEEE, Eurographics and ACM SIGGRAPH.