2022 International Conference on Culture-Oriented Science and Technology (CoST)最新文献_第7页

Feature Extraction of the Information Clues in the Data Journalism 数据新闻中信息线索的特征提取

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00069

Siheng Cao, Liqun Liu, Weihan Zhang

{"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}

引用次数: 0

On the Issue of “Digital Human” in the context of digital transformation 论数字化转型背景下的“数字人”问题

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00060

Fangfang Yu, Shengyu Jian, Chen Shen, Wen Xue, Yu Fu

引用次数: 1

Machine Learning Based Personalized Movie Research and Implementation of Recommendation System 基于机器学习的个性化电影推荐系统研究与实现

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00025

Xianting Feng, Jianming Hu, Xin Zhu

{"title":"Machine Learning Based Personalized Movie Research and Implementation of Recommendation System","authors":"Xianting Feng, Jianming Hu, Xin Zhu","doi":"10.1109/cost57098.2022.00025","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00025","url":null,"abstract":"With the development of the Internet industry, the information age presents a trend of “information overload”, and people's efficiency in extracting effective information is getting lower and lower. In order to relieve people's browsing pressure, this paper implements a collaborative filtering algorithm based on machine learning for the movie recommendation, citing the principle of personalized recommendation system proposed by Robert Armstrong and others in the United States in 1995. First, the rating data is preprocessed and visualized in consideration of the user's real behavior. Then implement the algorithm mentioned above, and use the test indicators to measure the performance of the recommender system and optimize the system parameters. Finally, using software engineering and Java front-end knowledge based on Spring+SpringMVC+Mybaits (SSM) to conduct demand analysis, functional analysis, non-functional analysis and establish a database. At last, use java database connectivity (JDBC) to link the database Mysql, and finally realized a movie recommender system with basic functions.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"21 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":"131797876","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: 2

A Model Conversion Algorithm from URDF to DH for Camera Robot 摄像机机器人URDF到DH的模型转换算法

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00037

Jing He, M. Zhang, Feng Xu, Qiang Liu, He Li

引用次数: 1

A QoE Prediction Model Combining Network Parameters and Video Quality 结合网络参数和视频质量的QoE预测模型

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00016

Jinfan Zhao, Shufeng Li, Feng Hu

引用次数: 0

Recommendation of Clip Templates Based on Cross-Modal Retrieval 基于跨模态检索的剪辑模板推荐

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00071

Zhiyi Zhu, Xiaoyu Wu, Xueting Yang, Kai Zhang, Haoyi Yu, Xiangshan Chen

{"title":"Recommendation of Clip Templates Based on Cross-Modal Retrieval","authors":"Zhiyi Zhu, Xiaoyu Wu, Xueting Yang, Kai Zhang, Haoyi Yu, Xiangshan Chen","doi":"10.1109/cost57098.2022.00071","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00071","url":null,"abstract":"Nowadays, the use of video editing software has increased dramatically. However, there is a problem of insufficient intelligence in the recommendation of clip templates in these software. Therefore, this paper addresses this problem and devotes to combining machine learning algorithms and deep learning to achieve optimization of video clip template recommendation, and proposes the design of a clip template recommendation system based on cross-modal retrieval technology. Firstly, the Requests module is used to crawl some data from Baidu images and NetEase cloud music websites and store them persistently as components of user templates to make the templates diverse and meet the needs of more users. Secondly, the algorithm network construction based on PyTorch framework was completed to realize background replacement and music matching, improve the template matching mechanism for users, and generate videos from images; finally, the Android Studio platform was used to develop the APP for Android system, and the Web server was built to realize the data interaction between the client side and the server side, so that users can easily use the APP to get functional experience.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"57 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":"122592664","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

Character Feature Extraction for Novels Based on Text Analysis 基于文本分析的小说人物特征提取

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00089

Tingting Wu, Jianming Hu, Xin Zhu

引用次数: 0

PSTNet: Protectable Style Transfer Network Based on Steganography 基于隐写术的可保护风格传输网络

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00021

Yuliang Xue, Nan Zhong, Zhenxing Qian, Xinpeng Zhang

{"title":"PSTNet: Protectable Style Transfer Network Based on Steganography","authors":"Yuliang Xue, Nan Zhong, Zhenxing Qian, Xinpeng Zhang","doi":"10.1109/CoST57098.2022.00021","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00021","url":null,"abstract":"Neural style transfer (NST) is a technique based on deep learning that preserves the content of an image and converts its style to a target style. In recent years, NST has been widely used to generate new artworks based on existent styles to promote cultural communication. However, there is little research that considers the protection of copyright during the generation of stylised images. To this end, we propose an end-to-end protectable style transfer network based on steganography, called PSTNet. This network, including a pair of encoder and decoder, takes a content image and copyright information as input. The encoder embeds copyright information directly into the input content image and render the content image in a specific style. When the copyright needs to be verified, only the corresponding decoder can extract copyright information correctly. Furthermore, an elaborated designed noise layer is added between the encoder and decoder to improve the robustness of the copyright protection method. Experiments show that the protectable stylised images generated by PSTNet have significant visual effects and the undetectability of copyright information is proved by steganalysis. In addition, our method is robust enough that the copyright of generated stylised images can still be proved even after spreading on real social networks. We hope this work will raise awareness of the protection of artworks created by NST.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"56 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":"125382245","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: 1

Rethinking the Adaptiveness of Conditional Flow A Novel Distribution Adaptation Strategy for Image Super-Resolution 对条件流自适应的再思考一种新的图像超分辨率分布自适应策略

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00079

Maoyuan Xu, Tao Jia, Hongyang Zhou, Xiaobin Zhu

{"title":"Rethinking the Adaptiveness of Conditional Flow A Novel Distribution Adaptation Strategy for Image Super-Resolution","authors":"Maoyuan Xu, Tao Jia, Hongyang Zhou, Xiaobin Zhu","doi":"10.1109/CoST57098.2022.00079","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00079","url":null,"abstract":"The conditional normalized flow model can alleviate the ill-posed nature of super-resolution problems by learning the conditional distribution of the output for a given low-resolution input, which allows multiple predictions for a given low-resolution image. However, the model may generate confusing artifacts in the high-frequency region of the image. While giving a smaller reduction in temperature would solve this problem, it would also smooth out the model's output, which would lead to a decrease in perceptual quality. In this paper, we propose a novel conditional normalizing flow-based distribution adaptation strategy for image Super-Resolution. More specifically, we demonstrate that the part of the latent variable that differs significantly between the latent variables of HR and the Bicubic of LR, contains mainly high-frequency information of the image. We adopt a Bicubic image of LR and a continuous threshold function to evaluate different temperatures in different latent variables. In this way, We can further alleviate generation of confusing artifacts without reducing perceptual quality. Extensive experiments show that our model can outperform state-of-the-art methods and generate more visually favorable results.","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":"130131112","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

Research on Visual Cognitive Model Modeling based on Design Psychology 基于设计心理学的视觉认知模型建模研究

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00040

Tianyu Hua, Shuang Wang, Jingyu Liu, Jian Jiang

{"title":"Research on Visual Cognitive Model Modeling based on Design Psychology","authors":"Tianyu Hua, Shuang Wang, Jingyu Liu, Jian Jiang","doi":"10.1109/CoST57098.2022.00040","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00040","url":null,"abstract":"This article is based on the theoretical achievements of design psychology, takes graphic poster design as the research object, and combines experimental psychology methods with information processing technology to construct a visual cognitive model that can serve art design. This article firstly starts from the laws of formal beauty in design psychology, and screens the formal beauty features of posters. Secondly, a subjective evaluation experiment for the formal beauty characteristics of the poster materials was conducted, and correlation analysis and factor analysis on the processed experimental data were completed. Finally, this article uses a variety of machine learning algorithms to construct a visual cognitive prediction model. This article summarizes seven low-level and four high-level feature descriptors of the beauty of poster form, and constructs a prediction model from low-level features to high-level features. In addition, this article also quantifies the “Balance” feature which has the highest word frequency in the low-level features, realizing the calculation of the balance degree of the poster image.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"44 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":"117237338","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