Virtual robots based on multi task scheduling algorithms in visual graphic design and digital art applications

•In the process of art design, AI image technology provides users with more interactive experiences.•This article investigates the application of virtual robots based on multi task scheduling algorithms.•The method based on multi task scheduling algorithm achieves better results in graphic design an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Entertainment computing Jg. 52; S. 100775
Hauptverfasser: Wang, Mingrong, Jiang, Shuqing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.01.2025
Schlagworte:
ISSN:1875-9521
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•In the process of art design, AI image technology provides users with more interactive experiences.•This article investigates the application of virtual robots based on multi task scheduling algorithms.•The method based on multi task scheduling algorithm achieves better results in graphic design and image edge detection tasks. With the application of virtual robots and computer entertainment interaction, the design process of digital art has undergone new development. In the process of art design, AI image technology provides users with more interactive experiences. This article investigates the application of virtual robots based on multi task scheduling algorithms in visual graphic design and digital art. This article proposes a new approach that uses a multi task scheduling algorithm to unify graphic design and image edge detection tasks. Graphic design involves creating and editing graphic elements, and image edge detection extracts useful features by analyzing edge information in the image. Use multi task scheduling algorithms to schedule and optimize tasks, in order to allocate computing resources reasonably and maximize the overall efficiency of tasks. The results show that the multitask scheduling algorithm dynamically determines the execution order and time allocation of tasks based on their priority and resource availability. It can adjust task scheduling according to real-time situations to adapt to different computing environments and task requirements. Through comparative experiments, it has been proven that the method based on multi task scheduling algorithm achieves better results in graphic design and image edge detection tasks, and can significantly improve computational efficiency.
ISSN:1875-9521
DOI:10.1016/j.entcom.2024.100775