Online Optimization of Animation Art Design User Virtual Perception in Mobile Edge Computing Environment

Animation art design is widely used in all levels of social life and has become an important part of modern social visual culture. Driven by new technologies, it is integrated with relevant application fields, resulting in new media forms and art categories. The development course of animation art d...

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Bibliographic Details
Main Authors: Liu, G. (Author), Tsai, S.-B (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
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Online Access:View Fulltext in Publisher
Description
Summary:Animation art design is widely used in all levels of social life and has become an important part of modern social visual culture. Driven by new technologies, it is integrated with relevant application fields, resulting in new media forms and art categories. The development course of animation art design is sorted out, focusing on the analysis of the technical basis of animation art design and art form, social function and cultural form, creative practice, and theoretical research. This paper puts forward the concept of dimension composition of animation art design and analyzes and studies the dimensions of technology and art, cognition and experience, economy, and culture in animation art design and artistic creation based on this concept. The modeling of edge devices and services is proposed to abstract resources and provide a unified formal description of user virtual perception for animation art design of various sensing types. All related attributes are described uniformly, and the device model and task model are given. Users can customize services based on predefined attributes. According to the development demand of multiuser shared virtual environments, the characteristics and limitations of the previous perception management scheme are analyzed and a two-layer perception management scheme is designed to adapt to the development of new multiuser shared virtual environment of animation art design. © 2022 Guozhu Liu and Sang-Bing Tsai.
ISBN:10589244 (ISSN)
DOI:10.1155/2022/1171905