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2021 International Conference on Culture-oriented Science & Technology (ICCST)最新文献

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Research and Realization of the Virtual Reality System of the Red Culture Exhibition Hall in Colleges 高校红色文化展厅虚拟现实系统的研究与实现
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00037
Gao Jing, Zhou Xinyu, Wang Hongjiang, Gao Yang
The Red Cultural Exhibition Hall is an important manifestation of party building in colleges and universities. Based on the VR vision, this article discusses and integrates the effective connection and integration of party building in colleges and universities, the construction of red cultural exhibition halls and the VR system, in order to further promote the selection of the network information path of the red culture construction, and propose solutions to promote the further party building and red culture system work in colleges and universities to break through the limitations of time and space and become more efficient and perfect.
红色文化展览馆是高校党建工作的重要体现。本文基于VR视角,探讨并整合高校党建、红色文化展厅建设与VR系统的有效衔接与融合,以进一步推动红色文化建设网络信息路径的选择。并提出了推动高校进一步开展党的建设和红色文化制度工作的对策,突破时间和空间的限制,更加高效和完善。
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引用次数: 0
Investigation on the Influence of Virtual Reality Displays on People’s Interaction 虚拟现实显示器对人们互动影响的研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00011
Yaqing Liang, Yiqi Wang
Virtual reality is a computer simulation system developed based on computer graphics and human-computer interaction technology. With the progress of science and technology, virtual reality has made great progress and brought changes to the way of social production and communication. This paper summarizes the development history of virtual reality and related display technology, and then analyzes the main application of virtual reality display technology. The application of virtual reality display technology in social contact was investigated by means of questionnaire survey. The results show that virtual reality display technology has been widely used in young people’s social contact and enhanced their experience in social contact.
虚拟现实是基于计算机图形学和人机交互技术发展起来的计算机仿真系统。随着科学技术的进步,虚拟现实技术取得了巨大的进步,给社会的生产和交流方式带来了变化。本文总结了虚拟现实及相关显示技术的发展历史,分析了虚拟现实显示技术的主要应用。采用问卷调查的方式,对虚拟现实显示技术在社会交往中的应用进行了调查。结果表明,虚拟现实显示技术已广泛应用于青少年的社会交往中,增强了青少年的社会交往体验。
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引用次数: 0
The Identity and Construction of the Elderly in Digital Back-feeding 数字反馈中老年人的身份与建构
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00135
Lanxiao Xin, Zhixiang Fang
Digital back-feeding helps to bridge the intergenerational digital divide to a certain extent. This paper adopts the qualitative research method to investigate the changes in the identity and construction of the elderly brought by digital back-feeding. The results show that the elderly can present themselves and obtain emotional satisfaction through digital back-feeding, and their cognition of self-identity tends to be young. The change of family identity is mainly reflected in the breaking of the inherent concept of “father guides son” and the elimination of the authority of the elderly in the digital back-feeding. The acquisition of media use skills through digital feedback also reshapes the digital social identity of the elderly and enables them to connect with society.
数字反馈在一定程度上有助于弥合代际数字鸿沟。本文采用定性研究的方法,调查数字化反馈给老年人身份与建构带来的变化。结果表明,老年人可以通过数字化反馈呈现自我并获得情感满足,其自我认同认知呈现年轻化趋势。家庭身份的变化主要体现在“父导子”的固有观念被打破,老年人在数字化反哺中的权威被消解。通过数字反馈获得媒体使用技能,也重塑了老年人的数字社会身份,使他们能够与社会联系。
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引用次数: 1
Research on the Status Quo of Intangible Cultural Heritage and Its Spreading Strategies in the Context of Consolidating Poverty Alleviation 扶贫攻坚背景下非物质文化遗产现状及传播策略研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00039
Guobin Peng, Jiajia Zhang, Xudong Pi
The protection and spread of intangible cultural heritage bears the features of the living environment and regional culture of China’s ethnic minorities. With the successful accomplishment of poverty alleviation, the status quo, protection and dissemination of intangible cultural heritage has become the focus of poverty alleviation consolidation. There is a variety of unique intangible cultural heritage in Yao region in Hezhou, Guangxi. Based on the analysis of the status quo of intangible cultural heritage and spreading strategy in Hezhou, Guangxi in the context of consolidating poverty alleviation, we need to fully integrate intangible cultural heritage with the special function of consolidating poverty alleviation, explore the inheritance and protection of intangible cultural heritage and its spreading strategies, promote the continuous spread of intangible cultural heritage, build up the brand awareness of regional culture and art in the Yao area, and comprehensively enhance its cultural soft power and economic strength.
非物质文化遗产的保护与传播具有中国少数民族生存环境和地域文化的特点。随着扶贫工作的成功完成,非物质文化遗产的现状、保护和传播成为扶贫整顿的重点。广西贺州瑶族地区有多种独特的非物质文化遗产。在分析广西贺州市非物质文化遗产现状及传播策略的基础上,在巩固扶贫背景下,我们需要将非物质文化遗产与巩固扶贫的特殊功能充分融合,探索非物质文化遗产的传承与保护及其传播策略,促进非物质文化遗产的持续传播;树立瑶区地域文化艺术品牌意识,全面提升瑶区文化软实力和经济实力。
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引用次数: 0
Construction of Open Creation Model for Digital Cultural Center 数字文化中心开放式创作模式的构建
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00132
Yuejian Zhu, Hanxi Wang
Relevant surveys indicate that the existing websites of digital cultural centers generally have three problems: insufficient user interaction, small number of users, and low user stickiness. Based on the three problems, this paper proposes the concept of open creation of virtual resources for digital cultural centers; divides the open creation function modules into three systems: an open system for literary and artistic creation/performance/collection, an open system for digital cultural resources creation, and a micro-copyright authorization and tracking system; and designs the open production process for each system module.
相关调查显示,现有数字文化中心网站普遍存在用户互动不足、用户数量少、用户粘性低等三个问题。针对这三个问题,本文提出了数字文化馆虚拟资源开放创建的概念;将开放创作功能模块划分为三个系统:文艺创作/表演/收藏开放系统、数字文化资源创作开放系统、微版权授权与跟踪系统;并设计了系统各模块的开放式生产流程。
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引用次数: 3
Relative Pose Estimation for RGB-D Human Input Scans via Human Completion 基于人工补全的RGB-D人工输入扫描的相对姿态估计
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00105
Pengpeng Liu, Guixuan Zhang, Hu Guan, Jie Liu, Shuwu Zhang, Zhi Zengi
Relative pose estimation for human scans enjoys a promising prospect. However, most existing methods mainly focus on indoor or outdoor scenes, requiring considerable overlap between the inputs. We present a technique for estimating the relative pose whatever the overlap between the human RGB- D input scans is. For non-overlapping scans, the insight is to take advantage of the underlying human geometry prior as much as possible. We utilize the implicit function model for human reconstruction, enriching abundant hidden cues for unseen regions, then we use the completed human geometry to get a stable pose estimation. Our evaluation shows that our approach outperforms considerably than standard pipelines in non-overlapping setting, without compromising performance over overlapping input scans.
人体扫描的相对姿态估计具有广阔的应用前景。然而,大多数现有的方法主要集中在室内或室外场景,要求输入之间有相当大的重叠。我们提出了一种估计相对姿态的技术,无论人类RGB- D输入扫描之间的重叠是多少。对于非重叠扫描,我们的想法是尽可能地利用潜在的人体几何结构。我们利用隐式函数模型进行人体重建,为未见区域丰富了丰富的隐藏线索,然后利用完整的人体几何图形得到稳定的姿态估计。我们的评估表明,我们的方法在非重叠设置下比标准管道性能要好得多,并且不会影响重叠输入扫描的性能。
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引用次数: 0
Research on the problem of image multi-classification 图像多分类问题的研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00124
Zelin Song, Xiaoyu Wu, Jiayao Qian
Image classification is an important research topic in the computer vision area. The classification task of small data volume, large number of classes, smaller differences between classes and larger differences within classes has always been a challenge. And this article aims to study and discuss such problems, using three methods: ResNets, EfficientNet and MoCo V2 for experiment and continuous optimization, and got the following results: The accuracy rate of ResNets classification is 0.43, of EfficientNet classification is 0.47, and of MoCo V2 classification, it is 0.62.
图像分类是计算机视觉领域的一个重要研究课题。数据量小、类数多、类间差异小、类内差异大的分类任务一直是一个挑战。本文针对这些问题进行研究和讨论,采用ResNets、EfficientNet和MoCo V2三种方法进行实验和持续优化,得到如下结果:ResNets分类准确率为0.43,EfficientNet分类准确率为0.47,MoCo V2分类准确率为0.62。
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引用次数: 1
Research on the Evaluation of Program Influence Based on PageRank Algorithm 基于PageRank算法的节目影响力评价研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00113
Feng Qing, Yan Wang, Yantong Zhang
The paper introduces the complex network theory into the program influence evaluation system. We collect relevant data of the variety shows on Tencent Video Platform from 2016-2021 and establish the program comprehensive influence algorithm program. The comprehensive influence consists of two direct and indirect parts, the direct influence is calculated from the total view counts, the comments in the latest issue, and the fans of the official program account. The indirect influence is calculated by PageRank, LeaderRank and TimedPageRank through the program page. The results obtained by the algorithm shows that the output of highly influential variety shows has increased in recent years. Even though COVID-19 in 2020 reduced the total production of variety shows, it still produces a relatively high proportion of influential programs. High influence programs are mainly “Develop” and “Game” programs, “Cultural” programs rank low. Inspire our need to strengthen the content production and value concept guidance of the variety show market, and deepen the content innovation and reform of the “Cultural” programs themselves.
将复杂网络理论引入到节目影响评价体系中。我们收集2016-2021年腾讯视频平台综艺节目相关数据,建立节目综合影响力算法方案。综合影响力由直接和间接两部分组成,直接影响力由总观看数、最新一期评论数、公众号粉丝数计算。间接影响由PageRank, LeaderRank和timmedpagerank通过程序页面计算。算法结果表明,近年来影响力较大的综艺节目产量有所增加。尽管2020年的新冠疫情导致综艺节目总量减少,但有影响力的节目仍占比较高的比例。影响力较大的节目主要是“发展”和“游戏”类节目,“文化”类节目排名较低。启示我们需要加强综艺节目市场的内容生产和价值观念引导,深化“文化”类节目本身的内容创新和改革。
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引用次数: 0
Multi-Iterative Superpixel Segmentation based on Local Brightness and Darkness Information 基于局部明暗信息的多迭代超像素分割
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00102
Junbao Zheng, Sizhe Zhang, Chenke Xu
Super-pixel segmentation algorithms are widely used in the preprocessing steps for computer vision applications. A crucial aspect of Super-pixel segmentation is preserving structure boundaries. However, in many images with complex structures, the contrast between foreground and background are very low, which becomes a challenge for Super-pixel segmentation. In this paper, we introduce a new method to evaluate local brightness and darkness for gray images. Then, we use local brightness and darkness information to enhance the weak structure boundary for Super-pixel segmentation. Furthermore, we also introduce a Super-pixel merging method for SLIC to eliminate numbers of Super-pixel blocks, especially nearby the boundaries between different objects. The experimental results show the proposed algorithm makes Super-pixels adhere to object boundaries better and improve the over-segmentation.
超像素分割算法广泛应用于计算机视觉的预处理步骤中。超像素分割的一个关键方面是保持结构边界。然而,在许多结构复杂的图像中,前景和背景之间的对比度非常低,这成为超像素分割的挑战。本文提出了一种评估灰度图像局部亮度和暗度的新方法。然后利用局部亮度和暗度信息增强弱结构边界进行超像素分割。此外,我们还引入了一种用于SLIC的超像素合并方法,以消除多个超像素块,特别是在不同目标之间的边界附近。实验结果表明,该算法能使超像素更好地贴合目标边界,改善过分割问题。
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引用次数: 1
An Improved Efficient Convolutional Neural Network for Weed Seedlings Detection 一种改进的高效卷积神经网络用于杂草幼苗检测
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00067
Mengqiu Dou, Zhiguo Hong, Minyong Shi
The growth of weeds in the fields is one of the important factors affecting crop yields. Timely detection and controlling of weeds have a great positive effect on the healthy growth of crop seedlings. Identifying the types of weeds correctly can effectively improve the efficiency of weed removal. Convolutional neural network is a good method for the detection of weed seedlings. With a suitable convolutional neural network model, the types of seedlings can be classified through pictures, which improves the efficiency of agricultural work greatly. This paper constructs a convolutional neural network model based on MobileNet and TensorFlow. The model is trained by inputting pictures of crops and weeds seedlings in 12 different types. The training model is evaluated with performance of 96.88% in identifying seedling types. Due to the features of high efficiency and lightweight of MobileNet, this model can be better applied to mobile devices than others, which is convenient for agricultural workers to use.
田间杂草的生长是影响作物产量的重要因素之一。及时发现和防治杂草对作物幼苗的健康生长有很大的积极作用。正确识别杂草种类,可以有效提高除草效率。卷积神经网络是一种很好的杂草幼苗检测方法。利用合适的卷积神经网络模型,可以通过图片对苗种进行分类,大大提高了农业工作的效率。本文构建了基于MobileNet和TensorFlow的卷积神经网络模型。该模型通过输入12种不同类型的作物和杂草幼苗的图片来训练。训练模型对幼苗类型的识别率为96.88%。由于MobileNet的高效率和轻量化的特点,这种模式比其他模式更适合于移动设备,方便农业工人使用。
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引用次数: 2
期刊
2021 International Conference on Culture-oriented Science & Technology (ICCST)
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