<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As the living standard of the people in China has changed drastically, the aesthetic quality of daily life has been increasing day by day, and people’s desire for a better life is also increasing. This paper proposes a color harmony model based on hue statistical features, using maximum likelihood estimation to extract the main hue region and extract related features from the corresponding region. Based on the inconsistencies in feature dimensions, a model is created to evaluate color harmony using Gaussian mixture training and is employed for image aesthetics evaluation. Finally, regression is employed to analyze the factors that influence life aesthetics evaluation, and the model is tested and analyzed using linear diagnosis and residual analysis. The results show that the influence index affecting the evaluation of daily life aesthetics is judgment beauty, and its influence coefficient is 4.4323. The product of image entropy and image gradient is used as the connotation of judging the aesthetics of daily human life, which is consistent with the evaluation of human aesthetic judgment. The theoretical connotations of life aesthetics are clarified and enhanced in this paper, and it develops its thinking to construct the reality of the good life.</p>
</abstract>

As the living standard of the people in China has changed drastically, the aesthetic quality of daily life has been increasing day by day, and people’s desire for a better life is also increasing. This paper proposes a color harmony model based on hue statistical features, using maximum likelihood estimation to extract the main hue region and extract related features from the corresponding region. Based on the inconsistencies in feature dimensions, a model is created to evaluate color harmony using Gaussian mixture training and is employed for image aesthetics evaluation. Finally, regression is employed to analyze the factors that influence life aesthetics evaluation, and the model is tested and analyzed using linear diagnosis and residual analysis. The results show that the influence index affecting the evaluation of daily life aesthetics is judgment beauty, and its influence coefficient is 4.4323. The product of image entropy and image gradient is used as the connotation of judging the aesthetics of daily human life, which is consistent with the evaluation of human aesthetic judgment. The theoretical connotations of life aesthetics are clarified and enhanced in this paper, and it develops its thinking to construct the reality of the good life.

Research on the Theoretical Connotation and Practical Path of Aesthetics of Daily Human Life in the Background of Internet

Industrial Technology Research Institute of Suqian University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

As the living standard of the people in China has changed drastically, the aesthetic quality of daily life has been increasing day by day, and people’s desire...

Research on the Theoretical Connotation and Practical Path of Aesthetics of Daily Human Life in the Background of Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 26 déc. 2023

Accepté: 02 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0285

Mots clés
Harmony model, Maximum likelihood estimation, Gaussian mixture model, Aesthetic assessment, Regression analysis

© 2024 Jingjing Du et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Theoretical Connotation and Practical Path of Aesthetics of Daily Human Life in the Background of Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 26 déc. 2023

Accepté: 02 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0285

Mots clésHarmony model, Maximum likelihood estimation, Gaussian mixture model, Aesthetic assessment, Regression analysis

© 2024 Jingjing Du et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Harmony model, Maximum likelihood estimation, Gaussian mixture model, Aesthetic assessment, Regression analysis