[2Yin5] インタラクティブ2

[2Yin5-20] Image Type Classification for Object Recognition of Illustration Images

〇Shunnsuke Asahi¹, Hiromi NARIMATSU², Junji YAMATO³, Hirotoshi TAIRA¹ (1.Osaka Institute of Technology, 2.NTT Communication Science Laboratories, 3.Kogakuin University)

Keywords:AI, Illustration Images

We have developed a system that recognizes objects in illustration images with high accuracy.
Illustration images generally include types such as color images, grayscale images, and line arts.
These types of images have different characteristics from each other, which hinders high-precision image recognition.
In this study, we propose a new method for recognizing objects in illustration images.
The method recognize objects using a recognizer dedicated to each type after classifying the illustration images into three types.
In the experiment, it was realized object recognition in the illustration image with higher accuracy than the exsiting methods.