Visualization tool for boundary image matching based on time-series data

Abstract

In this paper, we propose a visualization tool for boundary image matching based on time-series matching techniques. The proposed tool works as a client-server model that first converts boundary images to time-series data and then exploits efficient time-series matching techniques. The client shows the matching results with different charts or graphs to provide various viewpoints. The server efficiently performs the time-series matching using the multidimensional index, which supports a huge number of image time-series. By adapting visualization techniques on time-series matching, we can easily and intuitively understand the boundary matching results as well as time-series matching results. In particular, our polar chart, which represents 1-D time-series to 2-D boundary images, may give a strong intuition of understanding various trends of time-series data. We provide five different visualization methods, and we believe that those methods will be very helpful to understand the matching results of image timeseries.