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

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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
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
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 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
The Developments and Prospects of Integration of Culture and Sci-tech in China 中国文化与科技融合的发展与展望
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00123
Jinguo Zhang, Shuwu Zhang, Zhi Wang
In the field of the integration of culture and scitech covering such important areas as media integration, digital culture, cultural and travel integration, Chinese civilization tracing and cultural heritage protection, China will carry out in-depth researches on some commonly basic and restrictive key technologies to realize core technical breakthroughs and their integrative applications. An integrated system of cultural services and smart governance technologies is established to solve outstanding problems of cultural creation workshopization, propaganda stylization, performance stereotyping, resource islanding, and supervision artificialization, aiming to improve the efficiency of cultural creation and cultural resource utilization, the ability of cultural communication and performance, and the level of cultural smart management, so that with all-media technology as the foundation and its service innovation to transform and upgrade traditional cultural activities, this system could further vigorously help develop the new economic formats of digital cultural services, promoting digital creativity and design to empower the real economy, advancing cultural heritage protection, and realizing the deep integration of culture and sci-tech.
在涵盖媒体融合、数字文化、文旅融合、中华文明溯源、文化遗产保护等重要领域的文科融合领域,深入研究共性基础和限制性关键技术,实现核心技术突破和融合应用。建立文化服务与智慧治理技术一体化体系,着力解决文化创作工厂化、宣传风格化、演出刻板化、资源孤岛化、监管人工化等突出问题,提高文化创作和文化资源利用效率、文化传播和演出能力、文化智慧管理水平。以全媒体技术为基础,以服务创新改造提升传统文化活动,进一步大力发展数字文化服务新经济业态,促进数字创意设计赋能实体经济,推进文化遗产保护,实现文化与科技的深度融合。
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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
Single Image HDR Reconstruction Using Generative Adversarial Networks 基于生成对抗网络的单幅图像HDR重建
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00038
Zhaoshan Wei, Jiangbo Xu
The advances in GANs have paved the way for various methods of high dynamic range (HDR) image reconstruction. In this paper, we use the structural advantages of GAN to infer natural HDR images and reconstruct missing information from a single exposure low dynamic range(LDR) image in an end-to-end fashion, which extends the dynamic range of a given image to generate HDR image. Furthermore, we propose a novel dense feedback model and the feedback mechanism, which can make use of the high-level information to refine the shallow information in the top-down feedback stream through the global feedback and the local feedback connection. The dense connections in the forward-pass enable feature-reuse and comprehensively learn complex nonlinear relationships from LDR to HDR mapping. Experiment results demonstrate proposed method produces superior performance compared to existing state-of-the-art approaches.
gan技术的进步为各种高动态范围(HDR)图像重建方法铺平了道路。在本文中,我们利用GAN的结构优势来推断自然HDR图像,并以端到端方式从单个曝光低动态范围(LDR)图像中重构缺失信息,从而扩展给定图像的动态范围以生成HDR图像。在此基础上,提出了一种新颖的密集反馈模型和反馈机制,通过全局反馈和局部反馈的连接,利用高层信息来细化自顶向下反馈流中的浅层信息。前向传递中的密集连接实现了特征重用,全面学习了从LDR到HDR映射的复杂非线性关系。实验结果表明,与现有的先进方法相比,该方法具有更好的性能。
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引用次数: 0
Design and Implementation of COVID-19 Assistant Diagnostic System Based on Deep Learning 基于深度学习的COVID-19辅助诊断系统的设计与实现
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00064
Xiaoying Bai, Zhiguo Hong, Minyong Shi
In recent years, novel coronavirus pneumonia has spread rapidly around the world due to its strong infectiousness, and the medical systems of related countries are facing huge challenges. As the most intuitive and effective supplementary diagnostic basis for the results of nucleic acid tests, medical imaging screening has gradually become more and more important in epidemic prevention and control. In this context, this paper develops a novel coronavirus pneumonia-auxiliary diagnostic system by using deep learning techniques. This system can help medical staffs to diagnose the condition through X-Ray images quickly. This system builds a sample dataset by collecting lung X-ray images from two datasets and uses a neural network for auxiliary diagnosis training, which achieves an accuracy rate of 98%. Furthermore, two interactive visual interfaces in the form of PC-side applet and Web page are supported in the system, which makes it much easier for medical personnel to operate the system.
近年来,新型冠状病毒肺炎因其传染性强,在全球范围内迅速蔓延,相关国家的医疗体系面临巨大挑战。医学影像筛查作为核酸检测结果最直观、最有效的辅助诊断依据,在疫情防控中逐渐发挥越来越重要的作用。在此背景下,本文利用深度学习技术开发了一种新型冠状病毒肺炎辅助诊断系统。该系统可以帮助医务人员通过x射线图像快速诊断病情。该系统通过采集两个数据集的肺部x射线图像,构建样本数据集,并利用神经网络进行辅助诊断训练,准确率达到98%。此外,系统还支持pc端applet和Web页面两种形式的交互式可视化界面,使医务人员更容易操作系统。
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引用次数: 0
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
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
期刊
2021 International Conference on Culture-oriented Science & Technology (ICCST)
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