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

<p>In this study, we initiate the process by pre-processing the character image data and establishing coordinate axes. Utilizing the parallax principle, we construct a three-dimensional model of the animated character image and design a multidimensional, time-sequential visualization scheme based on clustering techniques. To enhance the effectiveness of cluster visualization, we incorporate color and transparency into the model and develop a three-dimensional communication framework to facilitate user interaction and improve animated image visualization. Subsequently, we evaluate the advantages and feasibility of this three-dimensional communication approach, focusing on user experience and user engagement. We also explore the visual perception capabilities of this method against contrasting background colors of light and dark. The findings demonstrate a credible expression of animated video images, with a credibility index of 4.690. Additionally, user perception is quantified at an average of 4.895, which not only exceeds the four-point benchmark but also outperforms alternative methods. This research offers a substantial reference for the advancement of visual communication studies concerning animated character images.</p>
</abstract>

In this study, we initiate the process by pre-processing the character image data and establishing coordinate axes. Utilizing the parallax principle, we construct a three-dimensional model of the animated character image and design a multidimensional, time-sequential visualization scheme based on clustering techniques. To enhance the effectiveness of cluster visualization, we incorporate color and transparency into the model and develop a three-dimensional communication framework to facilitate user interaction and improve animated image visualization. Subsequently, we evaluate the advantages and feasibility of this three-dimensional communication approach, focusing on user experience and user engagement. We also explore the visual perception capabilities of this method against contrasting background colors of light and dark. The findings demonstrate a credible expression of animated video images, with a credibility index of 4.690. Additionally, user perception is quantified at an average of 4.895, which not only exceeds the four-point benchmark but also outperforms alternative methods. This research offers a substantial reference for the advancement of visual communication studies concerning animated character images.

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

Applied Mathematics and Nonlinear Sciences

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

In this study, we initiate the process by pre-processing the character image data and establishing coordinate axes. Utilizing the parallax principle, we...

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

Published Online: May 30, 2024

Page range: -

Received: Feb 01, 2024

Accepted: Apr 15, 2024

DOI: https://doi.org/10.2478/amns-2024-1289

Keywords
Multidimensional time series, Visualization, Clustering, User interaction, Animated character image

© 2024 Yan Huang, et al., published by Sciendo

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

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

Published Online: May 30, 2024

Page range: -

Received: Feb 01, 2024

Accepted: Apr 15, 2024

DOI: https://doi.org/10.2478/amns-2024-1289

KeywordsMultidimensional time series, Visualization, Clustering, User interaction, Animated character image

© 2024 Yan Huang, et al., published by Sciendo

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

Keywords
Multidimensional time series, Visualization, Clustering, User interaction, Animated character image