Exploring the Visual Space Structure of Oil Painting Based on Visual Importance

Author:

Zhao Yang1,Lai Simin1ORCID

Affiliation:

1. Zhanjiang University of Science and Technology, Zhanjiang 524094, China

Abstract

For present and future design, research on visual-spatial language and the mastery of its fundamental concepts is extremely valuable. Since a more comprehensive research system has not yet been established to investigate the aesthetics of visual form and its significance, the research fields of spatial color and spatial structure relationships are currently relatively unique. The visual forms of design will be fundamentally affected by the diverse development of the design thinking ideology, and the expansion of design language will become a given. Design thinking and methods are significantly impacted by the emphasis on digital technology in online media. Design is no longer restricted to the arrangement of two-dimensional planes thanks to the visual space of oil paintings; three-dimensional space and time organization structures are combined with visual elements, and content layout evolves from static layout to dynamic interactive layout. In order to better understand visual space and intuition, this study begins by examining the structure of visual space in oil paintings. It does this by using artistic psychology and spatial space as research hints. The experimental results demonstrate that the depth-aware image quality evaluation algorithm in this study consumes more time than the MSEPF + 30 algorithm and the MSEPF + 50 algorithm by 12 ms and 15 ms, respectively, while the time consumption of individual particles is increased by 0.08 ms and 0.04 ms, respectively. This algorithm can thus meet the real-time requirements. As a result, it is anticipated that this study will address more comprehensive and detailed data as well as theoretical underpinnings that will be helpful in the study of painting art.

Funder

Philosophy and Social Science Planning Project of Guangdong Province

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference30 articles.

1. Visual Importance and Distortion Guided Deep Image Quality Assessment Framework

2. Road safety performance function analysis with visual feature importance of deep neural nets;G. Guangyuan;IEEE/CAA Journal of Automatica Sinica,2020

3. Road safety performance function analysis with visual feature importance of deep neural nets

4. An object tracking framework with recapture based on correlation filters and Siamese networks

5. The dimensions and perceptual meaning of Chinese new year painting as a form of visual encirclement[J];Y. Xiang;Contemporary Social Sciences (English),2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3