<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>This paper first explores the color emotion analysis of visual communication art, using linear equations and correlations to analyze the correlation between color emotion and image color space and classifying the degree of warmth and coldness and emotional expression of various colors. Then a multi-model hybrid color emotion calculation method is proposed, using positive-negative attribute values to get color positivity-taking values, using heavy-light to get color weight-taking values, and using warm-cold to get color heat-taking values, respectively. And the global color emotion feature of the image is calculated by using the extraction algorithm of central area weighted features. Finally, the influence of visual communication art on tea packaging is analyzed in terms of graphic design, color and layout of the packaging. In terms of packaging focus, 64 people think that they should focus on the embodiment of humanistic customs and culture, 87 people think they should focus on aesthetic aesthetics, and 75 people think they should highlight the characteristics of the product. In terms of the cultural and emotional orientation of packaging, 70.9% of people think that packaging diversity is the main tendency, and 50.9% think that retro style can better reflect the cultural characteristics of tea. The art of visual communication makes tea packaging design more design and aesthetic.</p>
</abstract>

This paper first explores the color emotion analysis of visual communication art, using linear equations and correlations to analyze the correlation between color emotion and image color space and classifying the degree of warmth and coldness and emotional expression of various colors. Then a multi-model hybrid color emotion calculation method is proposed, using positive-negative attribute values to get color positivity-taking values, using heavy-light to get color weight-taking values, and using warm-cold to get color heat-taking values, respectively. And the global color emotion feature of the image is calculated by using the extraction algorithm of central area weighted features. Finally, the influence of visual communication art on tea packaging is analyzed in terms of graphic design, color and layout of the packaging. In terms of packaging focus, 64 people think that they should focus on the embodiment of humanistic customs and culture, 87 people think they should focus on aesthetic aesthetics, and 75 people think they should highlight the characteristics of the product. In terms of the cultural and emotional orientation of packaging, 70.9% of people think that packaging diversity is the main tendency, and 50.9% think that retro style can better reflect the cultural characteristics of tea. The art of visual communication makes tea packaging design more design and aesthetic.

The application of communication art in tea packaging design under the modern aesthetic perspective

Applied Mathematics and Nonlinear Sciences

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

This paper first explores the color emotion analysis of visual communication art, using linear equations and correlations to analyze the correlation between...

The application of communication art in tea packaging design under the modern aesthetic perspective

Online veröffentlicht: 30. Sept. 2023

Seitenbereich: -

Eingereicht: 09. Dez. 2022

Akzeptiert: 10. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00399

Schlüsselwörter
Multi-model mixing, Visual communication art, Multi-model hybrid, Color emotion calculation, Linear equation.

© 2023 Zhiyong Wen, published by Sciendo

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

The application of communication art in tea packaging design under the modern aesthetic perspective

Online veröffentlicht: 30. Sept. 2023

Seitenbereich: -

Eingereicht: 09. Dez. 2022

Akzeptiert: 10. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00399

SchlüsselwörterMulti-model mixing, Visual communication art, Multi-model hybrid, Color emotion calculation, Linear equation.

© 2023 Zhiyong Wen, published by Sciendo

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

Schlüsselwörter
Multi-model mixing, Visual communication art, Multi-model hybrid, Color emotion calculation, Linear equation.