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

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A Spread Spectrum Based Audio Watermarking Method with Embedding Positions Adaption Using Predominant Local Pulse Extraction 利用优势局部脉冲提取自适应嵌入位置的扩频音频水印方法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00074
Wu Shiqiang, Huang Ying, Guan Hu, Zhang Shuwu, Liu Jie
In this paper, a spread spectrum based audio watermarking method with embedding positions adaption is proposed. A method of predominant local pulse (PLP) extraction is introduced to adaptively search for suitable embedded positions. Embedding watermark information at specific positions can reduce the amount of data modifications, thereby suppressing signal distortion caused by embedding. In addition, a embedding procedure based on spread spectrum, which provides robustness, is used in the DCT domain. The method discussed herein can embed watermark not only imperceivable but robust under common signal processing attacks and some of de-synchronization attacks.
提出了一种基于扩频的嵌入位置自适应音频水印方法。引入一种优势局部脉冲(PLP)提取方法,自适应搜索合适的嵌入位置。在特定位置嵌入水印信息可以减少数据修改量,从而抑制嵌入引起的信号失真。此外,在DCT域采用了一种基于扩频的嵌入方法,具有较好的鲁棒性。该方法在常见的信号处理攻击和一些去同步攻击下,既能实现水印的不可感知,又具有鲁棒性。
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引用次数: 1
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 Study of Delivery Route Optimization for Artistic Lighting Systems for Cultural Tourism in High-altitude Cold Areas at Night 高寒地区夜间文化旅游艺术照明系统配送路线优化研究
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00076
Tong-lu Li, Hanxi Wang
The artistic lighting system for high-altitude cold areas is a set of intelligent night-lighting equipment that can be used for night tourism in high-altitude cold areas. In order to ensure the normal and stable delivery of artistic lighting systems to the actual high-altitude icy/snowy areas, methods such as theoretical research, experimental analysis, modeling, algorithm improvement, and case study are adopted to study the delivery of artistic lighting systems in high-altitude cold conditions. Based on the actual demand for the delivery of artistic lighting systems to high-altitude icy/snowy areas, the Fuzzy Time-Windows constraint is formulated; the objective functions for maximizing customer satisfaction with artistic light shows and minimizing the total cost of the delivery of lighting systems are designed; customer satisfaction with light shows is converted into a constraint and thus a single objective function is established. Based on the single objective function, a static initial model with time window constraints is constructed. The Shennongjia International Ski Resort in Hubei Province is selected for empirical analysis. Based on the static initial model and dynamic model constructed by using the genetic algorithms for nonlinear programming, three analyses are completed. According to the analyses, the cost of a single light show using the artistic lighting systems is relatively low, and as the places in need of lighting systems increase, the cost of artistic lighting systems will be increasingly lower than that of fixed light sources.
高寒地区艺术照明系统是一套可用于高寒地区夜间旅游的智能夜光设备。为了保证艺术照明系统正常、稳定地输送到实际的高海拔冰雪地区,采用理论研究、实验分析、建模、算法改进、案例研究等方法,对高海拔寒冷条件下艺术照明系统的输送进行了研究。根据高海拔冰雪地区艺术照明系统的实际需求,提出了模糊时间窗约束;设计了最大限度地提高客户对艺术灯光表演的满意度和最大限度地降低照明系统交付总成本的目标函数;将顾客对灯光秀的满意转化为约束,建立单一目标函数。在单目标函数的基础上,构造了带时间窗约束的静态初始模型。选取湖北省神农架国际滑雪场进行实证分析。基于静态初始模型和采用非线性规划遗传算法建立的动态模型,完成了三种分析。根据分析,使用艺术照明系统的单场演出成本相对较低,并且随着需要照明系统的场所的增加,艺术照明系统的成本将越来越低于固定光源。
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引用次数: 0
Calculation and simulation of loudspeaker power based on cultural complex 基于文化综合体的扬声器功率计算与仿真
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00109
Zhen Li, Pengyang Ji, Lifeng Wu, Hui Ren, Yuqing Chen
Research on how to calculate the power of loudspeaker in sound reinforcement system of the cultural complex has been studied seldom, this paper analyzes the calculation methods proposed by domestic and foreign scholars, on this basis, put forward the improved method that can calculate the total loudspeaker power according to the space volume of the hall(LPSV). Using the existing algorithm and the LPSV in this paper, the speaker power in the cultural complex is calculated respectively, and the total power of the loudspeaker required in the hall can be directly obtained by using the LPSV through the volume of the hall. The 3D model of the hall is established by EASE, which is used to calculate and simulate the sound reinforcement technical parameters such as analogical pressure level, articulation loss, and rapid speech transmission index. In the aspects of maximum sound pressure level, sound field nonuniformity, and transmission frequency characteristics, according to the above analysis of the data, it meets the “Design specification of hall sound amplification system” (GB50371-2006). This study provides a theoretical basis for loudspeaker configuration of sound reinforcement system in cultural complex and has great application value.
对文化综合体扩声系统中扬声器功率的计算研究较少,本文分析了国内外学者提出的计算方法,在此基础上提出了根据大厅空间体积计算扬声器总功率的改进方法(LPSV)利用现有的算法和本文的LPSV分别计算文化综合体内扬声器的功率,利用LPSV可以通过大厅的体积直接得到大厅内所需扬声器的总功率。利用EASE软件建立大厅三维模型,对模拟压力级、发音损失、语音快速传输指标等扩声技术参数进行计算和仿真。在最大声压级、声场不均匀性、传输频率特性等方面,根据上述数据分析,符合《大厅扩声系统设计规范》(GB50371-2006)的要求。本研究为文化综合体扩声系统的扬声器配置提供了理论依据,具有较大的应用价值。
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引用次数: 0
A Robust video watermarking approach based on QR code 一种基于二维码的鲁棒视频水印方法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00079
Zhuojie Gao, Zhixian Niu, Baoning Niu, Hu Guan, Ying Huang, Shuwu Zhang
Video watermarking embeds copyright mark called watermark in video frame to prove the ownership of video copyright. Compared with more mature image watermarking algorithms, video watermarking algorithms require higher robustness. This paper encodes the watermark into QR code and makes full use of the high fault tolerance of QR code, proposes a watermark generating and decoding strategy based on the characteristics of QR code, which improves the robustness of the watermarking algorithm. The experimental results show that the algorithm is more robust than the algorithm using random binary string or scrambling QR code as watermark.
视频水印是在视频帧中嵌入称为水印的版权标记,用以证明视频版权的归属。与更成熟的图像水印算法相比,视频水印算法对鲁棒性的要求更高。本文将水印编码为QR码,充分利用QR码的高容错性,提出了一种基于QR码特性的水印生成与解码策略,提高了水印算法的鲁棒性。实验结果表明,该算法比使用随机二进制字符串或置乱QR码作为水印的算法具有更强的鲁棒性。
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引用次数: 0
Current Status and Prospects of Mobile AR Applications 移动AR应用的现状与展望
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00018
Yaxi Wang, Yuyang Wang, Zhen Fan
Objective Investigating the popularity of mobile AR applications has laid the foundation for the exploration of mobile AR applications. Methods The questionnaire survey selected AR experimental samples and divided the samples into 4 categories: mobile AR games, mobile AR advertisements, mobile AR videos, and mobile AR shopping. Establish the evaluation team to analyze the user experience data feedback results of the four types of AR applications. Conclusion Users have the most experience with mobile AR games, and users have a higher degree of experience with AR games than other categories.
目的调查移动AR应用的普及情况,为探索移动AR应用奠定基础。方法采用问卷调查法选取AR实验样本,将样本分为移动AR游戏、移动AR广告、移动AR视频和移动AR购物4类。建立评估团队,分析四类AR应用的用户体验数据反馈结果。用户对手机AR游戏的体验最多,且用户对AR游戏的体验程度高于其他类别。
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引用次数: 1
Neural Collaborative Filtering Recommendation Algorithm Based on Popularity Feature 基于人气特征的神经协同过滤推荐算法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00073
Cheng Zhang, Chen Li
In the recommendation system, compared with the explicit feedback, implicit feedback has the characteristics of large quantity, easier tracking and easier access. Even in many practical application scenarios of the recommendation system, there is only implicit feedback without explicit feedback Based on implicit feedback to recommend there has been a problem, that is usually implicit feedback provides only reflect the noise signal of user preferences, because although the observed interactions at least reflect the user’s interest in the item, but not observed the interaction may be missing data, and is not necessarily negative samples, so it’s natural lack of negative feedback In this work, this paper improves the neural colla-borative filtering algorithm (NCF) by extracting the popularity characteristics as the basis for extracting negative samples from implicit feedback data. To a certain extent, it solves the problem that negative sampling introduces a lot of noise in previous work. At the same time, we found that the gradient vanishing in the training process when using the traditional loss function Binary Cross Entropy (BCE). In order to solve this problem, a new loss function, BCE-Max, was proposed in this paper. Based on the above improvements, we proposed a neural collaborative filtering recommendation algorithm (PNCF) based on popularity characteristics. By comparing the performance of PNCF, NCF, traditional collaborative filtering and some matrix factorization recommendation algorithms in the evaluation indexes such as HR@10, NDCG@10 and avg_popularity@10, we find that PNCF has certain advantages over these recommendation algorithms. Meanwhile, We found that compared with NCF, the experimental results of PNCF improved by about 1.2% and 2% onHR@10 and NDCG@10 respectively, and even improved by about 2% on HR@1 and NDCG@I.
在推荐系统中,与显式反馈相比,隐式反馈具有数量大、易于跟踪、易于获取的特点。即使在推荐系统的许多实际应用场景中,也存在着只有隐式反馈而没有显式反馈的问题,即通常隐式反馈提供的只是反映用户偏好的噪声信号,因为虽然观察到的交互至少反映了用户对该物品的兴趣,但没有观察到的交互可能会丢失数据,而且不一定是负样本。本文对神经协同滤波算法(NCF)进行了改进,通过提取流行度特征作为从隐式反馈数据中提取负样本的基础。在一定程度上解决了以往工作中负采样引入大量噪声的问题。同时,我们发现使用传统的损失函数二叉交叉熵(Binary Cross Entropy, BCE)在训练过程中存在梯度消失的问题。为了解决这一问题,本文提出了一种新的损失函数BCE-Max。在此基础上,提出了一种基于人气特征的神经协同过滤推荐算法(PNCF)。通过比较PNCF、NCF、传统协同过滤和一些矩阵分解推荐算法在HR@10、NDCG@10和avg_popularity@10等评价指标上的性能,我们发现PNCF比这些推荐算法有一定的优势。同时,我们发现与NCF相比,PNCF的实验结果分别提高了约1.2%和2% onHR@10和NDCG@10,甚至在HR@1和NDCG@I上也提高了约2%。
{"title":"Neural Collaborative Filtering Recommendation Algorithm Based on Popularity Feature","authors":"Cheng Zhang, Chen Li","doi":"10.1109/ICCST53801.2021.00073","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00073","url":null,"abstract":"In the recommendation system, compared with the explicit feedback, implicit feedback has the characteristics of large quantity, easier tracking and easier access. Even in many practical application scenarios of the recommendation system, there is only implicit feedback without explicit feedback Based on implicit feedback to recommend there has been a problem, that is usually implicit feedback provides only reflect the noise signal of user preferences, because although the observed interactions at least reflect the user’s interest in the item, but not observed the interaction may be missing data, and is not necessarily negative samples, so it’s natural lack of negative feedback In this work, this paper improves the neural colla-borative filtering algorithm (NCF) by extracting the popularity characteristics as the basis for extracting negative samples from implicit feedback data. To a certain extent, it solves the problem that negative sampling introduces a lot of noise in previous work. At the same time, we found that the gradient vanishing in the training process when using the traditional loss function Binary Cross Entropy (BCE). In order to solve this problem, a new loss function, BCE-Max, was proposed in this paper. Based on the above improvements, we proposed a neural collaborative filtering recommendation algorithm (PNCF) based on popularity characteristics. By comparing the performance of PNCF, NCF, traditional collaborative filtering and some matrix factorization recommendation algorithms in the evaluation indexes such as HR@10, NDCG@10 and avg_popularity@10, we find that PNCF has certain advantages over these recommendation algorithms. Meanwhile, We found that compared with NCF, the experimental results of PNCF improved by about 1.2% and 2% onHR@10 and NDCG@10 respectively, and even improved by about 2% on HR@1 and NDCG@I.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Inverse Tone Mapping Algorithm Based on Multi-scale Dual-branch Network 一种基于多尺度双分支网络的逆色调映射算法
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00048
Tianyu Chen, Ping Shi
Inverse tone mapping has drawn more attention recently because it can convert a large number of existing standard dynamic range (SDR) images into high dynamic range (HDR) images. In this paper, we proposed an inverse tone mapping algorithm based on a multi-scale dual-branch network which can restore the original information lost in under-/over-exposed areas. A multi-scale structure and masking mechanism are used to guide the reconstruction of image texture and structure. In order to enhance the robustness of the model for dealing with extremely exposed images, we apply a preprocessing method of exposure adjustment which improves the quality of the generated images. With quantitative and visual inspection experiments, we prove that the proposed algorithm has better performance than most state-of-the-art algorithms.
逆色调映射由于能够将大量现有的标准动态范围(SDR)图像转换为高动态范围(HDR)图像而受到近年来的广泛关注。本文提出了一种基于多尺度双分支网络的逆色调映射算法,该算法可以恢复曝光不足/曝光过度区域丢失的原始信息。利用多尺度结构和掩蔽机制来指导图像纹理和结构的重建。为了增强模型在处理极端曝光图像时的鲁棒性,我们采用了曝光调整的预处理方法,提高了生成图像的质量。通过定量和视觉检测实验,我们证明了该算法比大多数最先进的算法具有更好的性能。
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引用次数: 2
Space Transformation of Small-Cultural Service Complex Based on Finite State Machine 基于有限状态机的小型文化服务综合体空间转换
Pub Date : 2021-11-01 DOI: 10.1109/ICCST53801.2021.00030
Kaidi Xiang, Hongjie Ni, Zhenye Liu, Dan Zhang
The variety of cultural activity spatial transformation methods based on finite state machines (FSM) are proposed to solve the problem of activity spatial transformations within a limited time. In this paper, we first investigate and extract the spatial characteristics of each activity in the SCSC, and establish a mathematical model. Then, we use the decision tree (DT) method to classify the various activity spaces and build a hierarchical FSM model based on the classification results. Finally, we conduct simulation experiments to verify the feasibility of the FSM model of the active spaces.
为了解决有限时间内的活动空间转换问题,提出了多种基于有限状态机的文化活动空间转换方法。本文首先研究并提取了供应链中各项活动的空间特征,并建立了数学模型。然后,利用决策树(DT)方法对各个活动空间进行分类,并根据分类结果建立层次FSM模型。最后,通过仿真实验验证了活动空间FSM模型的可行性。
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引用次数: 0
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
期刊
2021 International Conference on Culture-oriented Science & Technology (ICCST)
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