Pub Date : 2022-08-01DOI: 10.1109/cost57098.2022.00038
Yilan Zhou, Yue Zhang, Shanzhen Lan, Shaobin Li
The glass-free three dimensional (3D) large screen has provided an ultra-sensory immersive visual experience, and broken the aesthetic fatigue of people to print advertising. But it’s also limited by the geographical location and high cost of installation, accordingly, the virtual large curved screens on multiple buildings with interaction effect based on mixed reality (MR) was designed and implemented in this paper. Firstly, the deep learning building detection and building surface recognition algorithm were adopted to recognize the building surfaces, and the recognized surfaces were further filtered and integrated, which then completed the positioning of multiple buildings virtual large screens based on the integrated multiple plane groups. Based on the simultaneous rendering of multiple virtual curved screens, several interaction modes were also designed between the large screen spaces, thus furtherly enhancing the user experience and application potential of the virtual curved screens. The overall program built modularly based on 3D engine achieves better recognition, rendering and interaction effects in mobile, which also provides new ideas for new forms of MR applications in urban environments.
{"title":"Implementation of the Interaction Effect Among Virtual Large Curved Screens on Multiple Buildings Based on Mixed Reality","authors":"Yilan Zhou, Yue Zhang, Shanzhen Lan, Shaobin Li","doi":"10.1109/cost57098.2022.00038","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00038","url":null,"abstract":"The glass-free three dimensional (3D) large screen has provided an ultra-sensory immersive visual experience, and broken the aesthetic fatigue of people to print advertising. But it’s also limited by the geographical location and high cost of installation, accordingly, the virtual large curved screens on multiple buildings with interaction effect based on mixed reality (MR) was designed and implemented in this paper. Firstly, the deep learning building detection and building surface recognition algorithm were adopted to recognize the building surfaces, and the recognized surfaces were further filtered and integrated, which then completed the positioning of multiple buildings virtual large screens based on the integrated multiple plane groups. Based on the simultaneous rendering of multiple virtual curved screens, several interaction modes were also designed between the large screen spaces, thus furtherly enhancing the user experience and application potential of the virtual curved screens. The overall program built modularly based on 3D engine achieves better recognition, rendering and interaction effects in mobile, which also provides new ideas for new forms of MR applications in urban environments.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205468","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}
Pub Date : 2022-08-01DOI: 10.1109/cost57098.2022.00077
Wei Chow, M. Shieh, Fan Wu, Han Gao
The study designed the image questionnaires based on nine representative samples and 20 adjective images of Tujia Brocade. Also, the morphological matrix was achieved through the focus group. The morphological matrix includes five features and corresponding feature types of Tujia Brocade. Then, the image of each feature type was calculated based on the multivariate analysis of variance (MANOVA). The image system of Tujia Brocade feature types was constructed. The analysis results showed that five features of Tujia Brocade could have significant influence on the different vocabulary images. This study investigated the relationship between the vocabulary images and the feature types of Tujia Brocade. The study can provide references for designers and relevant manufacturers to understand consumers’ psychology and help Tujia Brocade to update and renovate.
本研究选取9个代表性样本和20个土家织锦的形容词形象设计形象问卷。通过焦点小组获得形态学矩阵。形态矩阵包括土家锦的五种特征和相应的特征类型。然后，基于多变量方差分析(multivariate analysis of variance, MANOVA)对各特征类型的图像进行计算。构建了土家织锦特征类型的图像系统。分析结果表明，土家织锦的五个特征对不同的词汇形象有显著的影响。本研究探讨了土家织锦的词汇意象与特征类型之间的关系。本研究可为设计师及相关厂商了解消费者心理提供参考，帮助土家织锦进行更新改造。
{"title":"A research on the image system of “Tujia Brocade” feature types","authors":"Wei Chow, M. Shieh, Fan Wu, Han Gao","doi":"10.1109/cost57098.2022.00077","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00077","url":null,"abstract":"The study designed the image questionnaires based on nine representative samples and 20 adjective images of Tujia Brocade. Also, the morphological matrix was achieved through the focus group. The morphological matrix includes five features and corresponding feature types of Tujia Brocade. Then, the image of each feature type was calculated based on the multivariate analysis of variance (MANOVA). The image system of Tujia Brocade feature types was constructed. The analysis results showed that five features of Tujia Brocade could have significant influence on the different vocabulary images. This study investigated the relationship between the vocabulary images and the feature types of Tujia Brocade. The study can provide references for designers and relevant manufacturers to understand consumers’ psychology and help Tujia Brocade to update and renovate.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717640","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}
Pub Date : 2022-08-01DOI: 10.1109/CoST57098.2022.00057
Liwen Gao, Xinquan Luo, Jing Nie, Yinghui Wang
Drawing on the Spring Festival Gala stage, a virtual simulation system based on Unity3D and adapted to contemporary stage effects is developed for the characteristics of modern Augmented Reality (AR) style stage shows. This paper proposes the realization ideas and methods of using the Shader module of Unity3D and the OpenCV plug-in component in Unity3D to simulate the stage effects such as naked-eye 3D, AR technology, and video matting effects. The combination of Unity3D virtual simulation and stage performance art can assist the program team in the design and rehearsal of the stage performance, and promote the transformation of the performance industry and the transformation of the production model.
{"title":"Modern Stage Performance Simulation Based on Augmented Reality Style","authors":"Liwen Gao, Xinquan Luo, Jing Nie, Yinghui Wang","doi":"10.1109/CoST57098.2022.00057","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00057","url":null,"abstract":"Drawing on the Spring Festival Gala stage, a virtual simulation system based on Unity3D and adapted to contemporary stage effects is developed for the characteristics of modern Augmented Reality (AR) style stage shows. This paper proposes the realization ideas and methods of using the Shader module of Unity3D and the OpenCV plug-in component in Unity3D to simulate the stage effects such as naked-eye 3D, AR technology, and video matting effects. The combination of Unity3D virtual simulation and stage performance art can assist the program team in the design and rehearsal of the stage performance, and promote the transformation of the performance industry and the transformation of the production model.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130269093","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}
Pub Date : 2022-08-01DOI: 10.1109/CoST57098.2022.00015
Hongyang Zhou, Yi Ma, Yan Ma, Xiaobin Zhu
Most existing image super-resolution (SR) methods has achieved superior performance. However, the contrastive learning, which commonly be used in high-level tasks, has not been fully exploited in existing deep learning based image SR methods. In this paper, we propose an image super-resolution network based feedback mechanism to learn abstract representations to explore high information in the representation space. Specifically, we first use the hidden states and constraints in RNN to achieve feedback network. Then, a contrastive learning is used to conduct representation learning by pulling the final SR image to the high resolution image and push the final image to intermediate images. In addition, we introduce a split based feedback block (SPFB) to reduce the redundancy of models for inference acceleration, where the tolerate features with similar patterns but require less computation. Extensive experimental results demonstrate the superiority of the proposed method in comparison with the state-of-the-art methods.
{"title":"Split-based Feedback Network for Image Super-Resolution","authors":"Hongyang Zhou, Yi Ma, Yan Ma, Xiaobin Zhu","doi":"10.1109/CoST57098.2022.00015","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00015","url":null,"abstract":"Most existing image super-resolution (SR) methods has achieved superior performance. However, the contrastive learning, which commonly be used in high-level tasks, has not been fully exploited in existing deep learning based image SR methods. In this paper, we propose an image super-resolution network based feedback mechanism to learn abstract representations to explore high information in the representation space. Specifically, we first use the hidden states and constraints in RNN to achieve feedback network. Then, a contrastive learning is used to conduct representation learning by pulling the final SR image to the high resolution image and push the final image to intermediate images. In addition, we introduce a split based feedback block (SPFB) to reduce the redundancy of models for inference acceleration, where the tolerate features with similar patterns but require less computation. Extensive experimental results demonstrate the superiority of the proposed method in comparison with the state-of-the-art methods.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127639105","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}
Pub Date : 2022-08-01DOI: 10.1109/CoST57098.2022.00016
Jinfan Zhao, Shufeng Li, Feng Hu
The advent of the 5G era and the theater performing arts market woes caused by Corona Virus Disease 2019 (COVID- 2019) epidemic have accelerated the emergence and growth of the cloud performing arts business. To improve the quality of service for cloud performing arts and live performances, it is critical to develop a predictive model that accurately and timely reflects the Quality of Experience (QoE). In this paper, we first filter three of the seven recognized application layer Quality of Service (QoS) parameters that represent the input network quality in this QoE prediction model. Then one of the four different video quality evaluation methods is selected as the most effective method to represent the video quality. The purpose of combining network quality and video quality is to build a more accurate and effective QoE prediction model.
{"title":"A QoE Prediction Model Combining Network Parameters and Video Quality","authors":"Jinfan Zhao, Shufeng Li, Feng Hu","doi":"10.1109/CoST57098.2022.00016","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00016","url":null,"abstract":"The advent of the 5G era and the theater performing arts market woes caused by Corona Virus Disease 2019 (COVID- 2019) epidemic have accelerated the emergence and growth of the cloud performing arts business. To improve the quality of service for cloud performing arts and live performances, it is critical to develop a predictive model that accurately and timely reflects the Quality of Experience (QoE). In this paper, we first filter three of the seven recognized application layer Quality of Service (QoS) parameters that represent the input network quality in this QoE prediction model. Then one of the four different video quality evaluation methods is selected as the most effective method to represent the video quality. The purpose of combining network quality and video quality is to build a more accurate and effective QoE prediction model.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042479","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}
Pub Date : 2022-08-01DOI: 10.1109/cost57098.2022.00069
Siheng Cao, Liqun Liu, Weihan Zhang
Nowadays, data journalism was becoming more and more complex in the fields of visual presentation, and which design strategies should be adopted to improve users’ reading efficiency was of great importance for data journalism producer. The purpose of this research was to extract the features of information clues that have a direct impact on the users’ visual perception and information foraging behavior, and use these features to describe the impact of the information clues. First, respondents were interviewed on the basis of understanding of the research material, and then use thematic analysis method to encode, so as to extract the features of the information clues in the data journalism. The results showed that the information clues in the data journalism can be divided into “structural features” and “semantic features” and different types of information clues can affect users’ information foraging behavior at different levels as a whole. Our findings provide a new perspective for the pattern classification and recognition of the information clues in the data journalism and refine the explanation of users’ news reading behavior mechanism.
{"title":"Feature Extraction of the Information Clues in the Data Journalism","authors":"Siheng Cao, Liqun Liu, Weihan Zhang","doi":"10.1109/cost57098.2022.00069","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00069","url":null,"abstract":"Nowadays, data journalism was becoming more and more complex in the fields of visual presentation, and which design strategies should be adopted to improve users’ reading efficiency was of great importance for data journalism producer. The purpose of this research was to extract the features of information clues that have a direct impact on the users’ visual perception and information foraging behavior, and use these features to describe the impact of the information clues. First, respondents were interviewed on the basis of understanding of the research material, and then use thematic analysis method to encode, so as to extract the features of the information clues in the data journalism. The results showed that the information clues in the data journalism can be divided into “structural features” and “semantic features” and different types of information clues can affect users’ information foraging behavior at different levels as a whole. Our findings provide a new perspective for the pattern classification and recognition of the information clues in the data journalism and refine the explanation of users’ news reading behavior mechanism.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376454","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}
Pub Date : 2022-08-01DOI: 10.1109/CoST57098.2022.00049
Ruidi Zheng, Xiuhua Jiang, Yanzhen Ma, Lei Wang
Enhancing videos or images on resolution, frame rate, dynamic range, color gamut, noise, or scratches removing have attracted the interest of experts. Efficient image quality assessment methods for these image enhancement algorithms should be available. Many image quality assessment metrics work well on the general image distortion assessment databases. However, they may not be able to distinguish artifacts caused by the image enhancement algorithms. In this paper, we study the reliability of state-of-the-art prominent full-reference and no-reference quality assessment metrics on image resolution enhancement artifacts. Firstly, we construct a 4K resolution database containing 1152 enhanced images with different superresolution distortion types and different distortion levels. Then, a subjective study with over 20000 human judgments is organized to reach reliable references from human visual perception. The performance comparison experiments on the proposed database show that IFC, FSIM, and DISTS are the top 3 perceptualconsistent metrics for image super-resolution artifacts assessment.
{"title":"A Comparison of Quality Assessment Metrics on Image Resolution Enhancement Artifacts","authors":"Ruidi Zheng, Xiuhua Jiang, Yanzhen Ma, Lei Wang","doi":"10.1109/CoST57098.2022.00049","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00049","url":null,"abstract":"Enhancing videos or images on resolution, frame rate, dynamic range, color gamut, noise, or scratches removing have attracted the interest of experts. Efficient image quality assessment methods for these image enhancement algorithms should be available. Many image quality assessment metrics work well on the general image distortion assessment databases. However, they may not be able to distinguish artifacts caused by the image enhancement algorithms. In this paper, we study the reliability of state-of-the-art prominent full-reference and no-reference quality assessment metrics on image resolution enhancement artifacts. Firstly, we construct a 4K resolution database containing 1152 enhanced images with different superresolution distortion types and different distortion levels. Then, a subjective study with over 20000 human judgments is organized to reach reliable references from human visual perception. The performance comparison experiments on the proposed database show that IFC, FSIM, and DISTS are the top 3 perceptualconsistent metrics for image super-resolution artifacts assessment.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125774970","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}
Pub Date : 2022-08-01DOI: 10.1109/cost57098.2022.00075
Binbin Zhai, Baihui Tang, Sanxing Cao
As more and more people like listening to music, the relationship between music and people’s emotional expression becomes closer and closer, and the music recommendation platform can help those who love music to screen out the parts that can meet people’s psychological demands from a large number of music works. Traditional music recommendation platforms often only rely on the simple classification of music works and the processing of music information listened to by users in history, but they can not adjust the recommended music categories according to the changes of users’ real-time emotional state to meet the changing needs of users. To meet this demand, this paper aims to design a music recommendation system based on real-time emotional analysis, so that the audience can get a more satisfactory user experience.
{"title":"Music Recommendation System Based on Real-Time Emotion Analysis","authors":"Binbin Zhai, Baihui Tang, Sanxing Cao","doi":"10.1109/cost57098.2022.00075","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00075","url":null,"abstract":"As more and more people like listening to music, the relationship between music and people’s emotional expression becomes closer and closer, and the music recommendation platform can help those who love music to screen out the parts that can meet people’s psychological demands from a large number of music works. Traditional music recommendation platforms often only rely on the simple classification of music works and the processing of music information listened to by users in history, but they can not adjust the recommended music categories according to the changes of users’ real-time emotional state to meet the changing needs of users. To meet this demand, this paper aims to design a music recommendation system based on real-time emotional analysis, so that the audience can get a more satisfactory user experience.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122213120","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}
The hormone regulation adaptive genetic algorithm based on improved two-point crossover (ITPX) is investigated and applied to a hybrid flow shop scheduling problem with identical parallel machines. Firstly, the hormone regulation mechanism is used to improve the parameter settings of different operators in the genetic algorithm to make it have adaptive regulation capability. Secondly, according to the problems of high redundancy and low efficiency of the traditional two-point crossover (TPX) operation, an exact point taking method is proposed to improve the exploration performance of the TPX operator, while multiple perturbation operations are designed to maintain the diversity characteristics of the variants. Finally, the improved algorithm is tested on the hybrid flow-shop scheduling problem with identical parallel machine. The test results show that the improved algorithm has an average percent deviation of 0.86% in solving the simple problem and 2.79 % in solving the complex problem, both of which are better than the comparable algorithms, verifying the effectiveness of the proposed algorithm.
{"title":"Improved TPX based IAGA for solving hybrid flow-shop scheduling problem with identical parallel machine","authors":"Zhu Chang-jian, Zheng Kun, Lian Zhi-Wei, Xu Hui, Feng Xue-Qing, Gu Xin-Yan","doi":"10.1109/cost57098.2022.00087","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00087","url":null,"abstract":"The hormone regulation adaptive genetic algorithm based on improved two-point crossover (ITPX) is investigated and applied to a hybrid flow shop scheduling problem with identical parallel machines. Firstly, the hormone regulation mechanism is used to improve the parameter settings of different operators in the genetic algorithm to make it have adaptive regulation capability. Secondly, according to the problems of high redundancy and low efficiency of the traditional two-point crossover (TPX) operation, an exact point taking method is proposed to improve the exploration performance of the TPX operator, while multiple perturbation operations are designed to maintain the diversity characteristics of the variants. Finally, the improved algorithm is tested on the hybrid flow-shop scheduling problem with identical parallel machine. The test results show that the improved algorithm has an average percent deviation of 0.86% in solving the simple problem and 2.79 % in solving the complex problem, both of which are better than the comparable algorithms, verifying the effectiveness of the proposed algorithm.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115028083","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}
Pub Date : 2022-08-01DOI: 10.1109/CoST57098.2022.00063
Feiyang Sang, Hui Wu, Zhe Liu, Shenguo Fang
As a part of Chinese indigenous culture, rural culture has high artistic, civilized and social value. This paper introduced a digital twin platform of rural cultural tourism, aiming at exploring the application of current technology in the protection of rural culture. By using 3D modeling to build the model of Xitang ancient town and importing Unreal Engine (UE) to construct the digital twin platform, this paper created a multi-functional intelligent platform that integrates virtual space tourism, cultural transmission, online rural product shopping, rural intelligent management, local culture promotion, and other services. The platform reduces the cost of time, enhances service and economic efficiency, breaks the limitations of time and space, promotes the innovation and development of rural cultural tourism resources, drives national rural revitalization and common prosperity and has important social and cultural communication values.
{"title":"Digital Twin Platform Design for Zhejiang Rural Cultural Tourism Based on Unreal Engine","authors":"Feiyang Sang, Hui Wu, Zhe Liu, Shenguo Fang","doi":"10.1109/CoST57098.2022.00063","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00063","url":null,"abstract":"As a part of Chinese indigenous culture, rural culture has high artistic, civilized and social value. This paper introduced a digital twin platform of rural cultural tourism, aiming at exploring the application of current technology in the protection of rural culture. By using 3D modeling to build the model of Xitang ancient town and importing Unreal Engine (UE) to construct the digital twin platform, this paper created a multi-functional intelligent platform that integrates virtual space tourism, cultural transmission, online rural product shopping, rural intelligent management, local culture promotion, and other services. The platform reduces the cost of time, enhances service and economic efficiency, breaks the limitations of time and space, promotes the innovation and development of rural cultural tourism resources, drives national rural revitalization and common prosperity and has important social and cultural communication values.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121692505","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}
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