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

Taemin Lee, Nahyuk Lee, Sanghyun Seo, Dongwann Kang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages747-749
Number of pages3
ISBN (Electronic)9781728176246
DOIs
StatePublished - Dec 2020
Event2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 - Las Vegas, United States
Duration: 16 Dec 202018 Dec 2020

Publication series

NameProceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

Conference

Conference2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Country/TerritoryUnited States
CityLas Vegas
Period16/12/2018/12/20

Keywords

  • Emotional Analysis
  • Landscape Image
  • Logistic Regression
  • Machine Learning
  • Random Forest

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