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

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Research and Development of Copyright Registration and Monitoring System Based on Digital Watermarking and Fingerprint Technology 基于数字水印和指纹技术的版权登记与监控系统的研究与开发
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00080
Bowen Ning, Baoning Niu, Hu Guan, Ying Huang, Shuwu Zhang
According to the characteristics of the existing copyright protection system and market demand, a copyright registration and monitoring system based on digital watermarking and fingerprint technology was designed and implemented.Users can register audio, video, image and other types of digital content on our system, in which the only fingerprint is used to replace the original work itself for registration. After the approval, the unique watermark is issued for embedding in the digital content, so that when the infringement is identified, the watermark can be extracted from the suspected infringing works to prove the copyright, and this will break through the difficulty of obtaining evidence and safeguarding rights.The system also is real-time and accurate for copyright monitoring works. It can provide users with instant feedback, including suspected infringement works. Our system combines the advantages of digital watermarking and fingerprint technology in copyright protection, simplifies the copyright registration, makes the infringement identification effective, and makes the copyright monitoring accurate, so as to effectively prevent the occurrence of infringement and piracy, which is conducive to the promotion and popularization of digital works copyright protection.
根据现有版权保护系统的特点和市场需求,设计并实现了一种基于数字水印和指纹技术的版权登记与监控系统。用户可以在我们的系统上注册音频、视频、图像和其他类型的数字内容,其中唯一的指纹是用来代替原创作品本身进行注册。通过审批后,发布唯一的水印嵌入到数字内容中,这样在识别侵权行为时,就可以从涉嫌侵权的作品中提取水印来证明版权,突破了取证难、维权难的难题。该系统对作品的版权监控具有实时性和准确性。它可以为用户提供即时反馈,包括涉嫌侵权的作品。本系统结合了数字水印和指纹技术在版权保护方面的优势,简化了版权登记,使侵权识别有效,使版权监控准确,从而有效地防止了侵权和盗版的发生,有利于数字作品版权保护的推广和普及。
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引用次数: 3
A Noncustom Virtual Simulation System for Performing Arts 表演艺术非自定义虚拟仿真系统
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00045
Xinquan Luo, Zhengdong Han, Xiangjie Huang
According to the characteristics of modern performance programs, this paper puts forward a novel method of applying virtual simulation technology to the construction of the physical stage. Taking the 1500 people lecture hall of the Communication University of China as an example, this paper designs a 3D interactive simulation system based on Unreal Engine, which is full of elements and non-customized and makes an exploration on the virtual simulation of a variety show. The interactive simulation system is composed of several modular simulation engines. Users can use this system to set some key elements needed for the performance, including LED background, audio, stage effects, lighting control, Figure dance, etc. to simulate the art show. By the simulation, users can watch the simulation effect of the show more directly, and then make efficient and reasonable adjustment [1]. The system has good portability and versatility and can be quickly combined with other 3D models to realize the simulation of different scenes. At the same time, with the help of the system, beginners can fully understand the performing arts technology, and learn the ideas and methods of applying virtual simulation technology to the performing arts industry.
根据现代演出节目的特点,提出了一种将虚拟仿真技术应用于物理舞台搭建的新方法。本文以中国传媒大学1500人的大讲堂为例,设计了一个基于虚幻引擎的元素丰富、非定制化的三维交互仿真系统,对综艺节目的虚拟仿真进行了探索。交互式仿真系统由多个模块化仿真引擎组成。用户可以使用该系统设置表演所需的一些关键元素,包括LED背景、音频、舞台效果、灯光控制、人物舞蹈等,模拟艺术表演。通过模拟,用户可以更直接地观看节目的模拟效果,然后进行高效合理的调整[1]。该系统具有良好的便携性和通用性,可以快速与其他3D模型结合,实现不同场景的仿真。同时,在系统的帮助下,初学者可以充分了解表演艺术技术,学习将虚拟仿真技术应用于表演艺术行业的思路和方法。
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引用次数: 1
Details Enhancement In Low Contrast Region Of Inspection Image Based On Fuzzy Rough Set 基于模糊粗糙集的检测图像低对比度区域细节增强
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00100
Junbao Zheng, Junpeng Ji, Xiu Liu
In the large dynamic range of inspection images, low-density objects mostly exist in the areas with low contrast, which makes it difficult to identify or show them. The existing image enhancement algorithms mostly do not consider this characteristic of the X-ray inspection image. To solve the detail enhancement problem for quarantine inspection, an fuzzy rough set method is proposed to extract the low-density quarantine objects in X-ray inspection image. Firstly, after negative operating and noise filtering, the inspection image is divided into two parts with rough set method, one is the region of interest that may have the low-density quarantine object, and the other on the contrary. Then, within the region of interest, a fuzzy degree is used to determine the probability of a certain pixel to belong to the quarantine target. Finally, according to the pixel classification results, some pixel values are adjusted in HSV space to show quarantine target distinctly. The capability of detail enhancement in low-contrast region of high dynamic image is also evaluated with the experiments on simulation data and real X-ray images.
在大动态范围的检测图像中,低密度目标多存在于对比度较低的区域,难以识别或显示。现有的图像增强算法大多没有考虑到x射线检测图像的这一特性。为了解决检疫检测中的细节增强问题,提出了一种模糊粗糙集方法提取x射线检测图像中的低密度检疫目标。首先,对检测图像进行负运算和噪声滤波后,采用粗糙集方法将检测图像分成两部分,一部分是可能存在低密度隔离对象的感兴趣区域,另一部分是可能存在低密度隔离对象的感兴趣区域。然后,在感兴趣的区域内,使用模糊度来确定某个像素属于隔离目标的概率。最后,根据像素分类结果,在HSV空间中调整一些像素值,使隔离目标更加清晰。通过仿真数据和真实x射线图像的实验,对高动态图像低对比度区域的细节增强能力进行了评价。
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引用次数: 0
Establishment of Chinese Speech Emotion Database of Broadcasting 广播汉语语音情感数据库的建立
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00131
Zhongwen Tu, Bin Liu, Wei Zhao, Baoyu Cao
In order to provide an effective and available database for speech emotion recognition and research on broadcast speech, an speech emotion database based on broadcast vocalization method is established, which contains seven discrete emotions, namely, happy, very happy, sad, very sad, angry, very angry and neutral. The database is recorded by four graduate students (two male and two female) from Communication University of China, who majoring in broadcasting and anchoring, at the professional recording room in a performance way. To prove the effectiveness of the database, an evaluation group of 10 people, both professional and nonprofessional, was organized to conduct a subjective evaluation experiment on the randomly selected samples from the database. The experiment results show that this database is an effective and reliable Chinese speech emotion database of broadcasting.
为了给广播语音的语音情感识别和研究提供一个有效、可用的数据库,建立了一个基于广播发声法的语音情感数据库,该数据库包含快乐、非常快乐、悲伤、非常悲伤、愤怒、非常愤怒和中性七种离散情绪。该数据库由中国传媒大学广播与主播专业的4名研究生(2男2女)在专业录音室以表演的方式录制。为了证明数据库的有效性,我们组织了一个由10名专业人士和非专业人士组成的评估组,对数据库中随机抽取的样本进行了主观评价实验。实验结果表明,该数据库是一个有效、可靠的广播汉语语音情感数据库。
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引用次数: 1
A Survey on Original Video-based Watermarking 基于原始视频的水印研究综述
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00098
Zhongze Lv, Hu Guan, Ying Huang, Shuwu Zhang
With the quick development of communication technology, digital video has become an indispensable media content for people’s daily life and entertainment, and its copyright protection has also turned into a vital research topic. The digital video watermarking is expected to become a technology that can solve the problem of digital video network infringement. Based on various embedding positions, the digital video watermarking algorithm includes two major categories: the compressed video-based and original video-based watermarking algorithm. The latter has stronger versatility than the former, hence, in this paper, we mainly focus on the survey of the original video-based watermarking algorithm.
随着通信技术的飞速发展,数字视频已经成为人们日常生活和娱乐中不可缺少的媒体内容,其版权保护也成为一个重要的研究课题。数字视频水印有望成为解决数字视频网络侵权问题的一种技术。基于不同的嵌入位置,数字视频水印算法包括两大类:基于压缩视频的水印算法和基于原始视频的水印算法。后者比前者具有更强的通用性,因此,在本文中,我们主要对原有的基于视频的水印算法进行综述。
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引用次数: 0
Research on virtual competitive form based on E-sports games 基于电子竞技游戏的虚拟竞技形式研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00023
Xiao Gong, Qian Chen, Huan Chen, Guanchun Xu
E-sports is a new kind of virtual competition between people playing electronic games. In recent years, E-sports players and audiences have continued to grow, and the scale of E-sports competitions has evolved from simple single or double player confrontations to an official event in the Asian Games. The influence of E-sports is increasing daily on a global scale, and the huge economic value it brings is also favored by investors. E-sports has gradually formed a large-scale industrial chain and it is becoming an important sector in the field of science and technology that is also culturally oriented. This article aims to study the characteristics and elements of E-sports, and put forward some suggestions and conclusions for the E-sports industry based on in-depth analysis.
电子竞技是玩电子游戏的人之间的一种新型的虚拟竞赛。近年来,电竞选手和观众不断增长,电竞比赛的规模也从单纯的单人或双人对抗演变为亚运会的正式赛事。电子竞技在全球范围内的影响力与日俱增,其带来的巨大经济价值也受到投资者的青睐。电子竞技已经逐渐形成了一个大型的产业链,它正在成为科技领域的一个重要部门,也是文化导向的。本文旨在研究电子竞技的特点和构成要素,并在深入分析的基础上,对电子竞技产业提出一些建议和结论。
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引用次数: 1
An Augmented Reality Design Method Based on ARKit for the Fusion of Hierarchical Traditional Media and Real Scenes 基于ARKit的分层传统媒体与真实场景融合增强现实设计方法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00025
Guotong Di, Haokun Li, Jie Xu
Augmented reality (AR) has entered our lives, and it is likely to become the next generation of human-computer interaction technology. In order to bring a more immersive augmented reality experience, this paper introduces an augmented reality method that can integrate traditional media with real scenes based on ARKit. Through scene recognition, plane detection, 3D modeling and other technologies, traditional media is integrated into the real scenes to give users an immersive feeling. In addition, this paper designs a hierarchical augmented reality experience based on the processing capabilities of different devices and scene information, avoiding the impact of device differences and lack of scene information on the augmented reality experience.
增强现实(AR)已经进入我们的生活,它很有可能成为下一代人机交互技术。为了带来更加身临其境的增强现实体验,本文介绍了一种基于ARKit将传统媒体与真实场景相结合的增强现实方法。通过场景识别、平面检测、3D建模等技术,将传统媒体融入真实场景,给用户身临其境的感觉。此外,本文还基于不同设备和场景信息的处理能力,设计了分层次的增强现实体验,避免了设备差异和场景信息缺失对增强现实体验的影响。
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引用次数: 0
Emotional Expression of Weibo Users in China during the COVID-19 新冠肺炎疫情期间中国微博用户的情感表达
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00138
Heyang Su
Emotion, as an essential element in communication, is becoming increasingly important and influential in the era of social media. The expression of social media users also has more and more emotional characteristics. Based on the framework of emotional expression, this study encodes the collected 49 microblogs published by China’s official media accounts and their comments during COVID-19, and discusses the relationship between account types, text forms, discussion intensity and emotional expression tendency. It is found that account types and discussion intensity have a correlation with the emotional expression of Weibo users, while the correlation between text forms and emotional expression is not obvious. This study analyzes the emotional expression of social media and reflects on how to correctly understand the phenomenon of emotional expression and avoid the occurrence of “post-truth” events.
情感作为沟通的基本要素,在社交媒体时代变得越来越重要和有影响力。社交媒体用户的表达也越来越具有情感特征。本研究基于情感表达的框架,对收集到的49条中国官方媒体账号在疫情期间发布的微博及其评论进行编码,探讨账号类型、文本形式、讨论强度与情感表达倾向之间的关系。研究发现,微博用户的账号类型和讨论强度与情感表达存在相关性,而文本形式与情感表达的相关性不明显。本研究对社交媒体的情感表达进行分析,思考如何正确理解情感表达现象,避免“后真相”事件的发生。
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引用次数: 0
Evolutionary Game Propagation Model on Social Networks 社交网络上的进化博弈传播模型
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00063
Zeya Song, Chunling Dong, Peiyan Du
To investigate the propagation mechanism of public opinion in social networks, this paper investigates the influence of initial propagation nodes on propagating public opinion and whether individuals participate in the propagation strategy based on evolutionary game theory. Experimental simulations of SIR contagion model propagation and game strategy learning are done in small-world networks, scale-free networks, and Facebook friend networks using different node influence calculation methods to select initial propagation nodes.
为了研究社会网络中舆情的传播机制,本文基于进化博弈论研究了初始传播节点对舆情传播的影响以及个体是否参与传播策略。在小世界网络、无标度网络和Facebook好友网络中,采用不同的节点影响计算方法选择初始传播节点,对SIR传染模型的传播和博弈策略学习进行了实验模拟。
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引用次数: 0
A Price Prediction Method Based on CatBoost 基于CatBoost的价格预测方法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00090
Tie Wang, Yutian Wang, Mingzhe Liu
We have studied a price prediction method based on CatBoost, which can evaluate and predict the value of objects. In our approach, we applied many advanced and popular techniques of feature engineering. Also, we compared and analyzed different models, including linear models, tree-based models, and deep learning in the modelling part. Specifically, we have applied it to the housing price prediction, which has verified the effectiveness of our method. Our method can not only be used to predict housing prices, but also to evaluate or predict the value of other objects, such as cultural objects or artworks.
我们研究了一种基于CatBoost的价格预测方法,它可以评估和预测对象的价值。在我们的方法中,我们应用了许多先进和流行的特征工程技术。在建模部分,我们对不同的模型进行了比较和分析,包括线性模型、基于树的模型和深度学习模型。具体而言,我们将其应用于房价预测,验证了该方法的有效性。我们的方法不仅可以用来预测房价,也可以用来评估或预测其他物品的价值,比如文物或艺术品。
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引用次数: 1
期刊
2021 International Conference on Culture-oriented Science & Technology (ICCST)
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