Painting-Emotion Matching Technology Learning System through Repetition

Taemin Lee and Sanghyun Seo
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Taemin Lee: Department of Computer Science and Engineering, Chung-Ang University, Seoul 06974, Korea
Sanghyun Seo: School of Computer Art, College of Art and Technology, Chung-Ang University, Anseong-si 17546, Kyunggi-do, Korea

Sustainability, 2019, vol. 11, issue 16, 1-12

Abstract: People’s interest in paintings has increased as artists have easier access to an audience. However, at times, laypersons may not understand the significance of a painting. With the development of computer science, it has become possible to analyze paintings using machines, but some limitations remain. In this paper, we present a learning tool to help analyze the sensitivity of a given painting. To this end, the proposed system provides users with the ability to predict the emotions expressed by a painting through repeated learning of a matched painting. Using this learning tool, users can improve their ability to understand paintings.

Keywords: education system for matching with emotion and painting; emotion extraction from paintings; painting classification based on their emotion (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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