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Journal for Geometry and Graphics 27 (2023), No. 1, 069--079
Copyright Heldermann Verlag 2023

An Analysis of Visual Interest Detection in 2D Game Concept Art

Tiancheng San
Tokyo University of Technology, Tokyo, Japan

Yoshihisa Kanematsu
Tokyo University of Technology, Tokyo, Japan

Koji Mikami
Tokyo University of Technology, Tokyo, Japan

This study proposes a scheme that demonstrates the pattern of color combinations in the visual and non-visual centers. To achieve this goal, we first have to clearly distinguish the visual and non-visual center areas in the game concept design. Up to now, the saliency studies have been similar to our study. However, after our tests, the saliency studies do not distinguish well between the visual and non-visual center areas in the concept art. Therefore we propose this research method from the artistís perspective. We first partition the image into small local regions, similar to bags of feature model, and then we give each local region a hash string to determine their similarity. Then we classify similar local regions. In the painting principle, similar or repeated regions are often non-visual centers. Finally, we check the variation of HSV of local regions to confirm the accuracy of the visual center. At the end of the study, we compared the performance of our study with two other major saliency methods in a sample of game concept designs. The results show that our method can better show the visual center of the game concept design diagram.

Keywords: Visual interest, game concept art, color contrast, segmentation, 2D digital artwork.

MSC: 91E10.

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