A Study on the Prediction of Emotion from Image by Time-flow depend on Color Analysis

Citations

SCOPUS

3

초록

When people are looking at a landscape, we feel different depending on time/season. This part is based on the colors of the landscape, even if you look at the same landscape due to the visual elements. We wanted to analyze human emotions, especially based on color, among these visual elements. For this purpose, machine learning models were established according to color and human emotion changes were analyzed quantitatively over time. Finally, we analyzed how much color affects human emotions. © 2020 IEEE.

키워드

Emotional Analysis; Landscape Image; Logistic Regression; Machine Learning; Random Forest; Intelligent computing; Color analysis; Human emotion; Machine learning models; Visual elements; Color
제목
A Study on the Prediction of Emotion from Image by Time-flow depend on Color Analysis
저자
Lee, T.; Lee, N.; Seo, S.; Kang, D.
DOI
10.1109/CSCI51800.2020.00141
발행일
2020
유형
Conference Paper
저널명
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
페이지
747 ~ 749