A Visualization Tool for Feature Analysis of Painting Images
Ayaka Kaneko, Takayuki Itoh, Ying Wang · 2017
This poster presents a visualization tool for painting images. This tool firstly calculates feature values of the input images, divides them based on category information such as artist names and periods, discovers association rules between feature values and category information, and finally displays a set of images which correspond to the discovered rules. We expect the tool helps users to browse groups of their favorite paintings.