Construction of Intelligent Evaluation System for Video Content Based on Big Data in the Context of 5G1

Dianyi Wu, Siwei Long, Yan Zhou, Sucheng Chen
{"title":"Construction of Intelligent Evaluation System for Video Content Based on Big Data in the Context of 5G1","authors":"Dianyi Wu, Siwei Long, Yan Zhou, Sucheng Chen","doi":"10.23919/WAC55640.2022.9934191","DOIUrl":null,"url":null,"abstract":"With the development of 5G technology, content is no longer closed and one-dimensional. Openness, sharing and co-construction, and multilateral cooperation have become common phenomena in content production, transmission, distribution, and trading. The survival rules of the traditional content industry have emerged. However, the original evaluation mechanism cannot adapt to the needs of the current open and massive content industry. Therefore, the author tried to propose a content evaluation model based on big data.In this study, the author first sorted out the changes in the content industry, proposed that the current mature big data industry provides a technical basis for the implementation of content evaluation models, and further proposed the basic principles that the content evaluation model should meet, and build on this basis A content evaluation model composed of three-dimensional data is adopted. Through flexible processing of three-dimensional data, different requirements for evaluation in various links of the content industry can be realized.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WAC55640.2022.9934191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the development of 5G technology, content is no longer closed and one-dimensional. Openness, sharing and co-construction, and multilateral cooperation have become common phenomena in content production, transmission, distribution, and trading. The survival rules of the traditional content industry have emerged. However, the original evaluation mechanism cannot adapt to the needs of the current open and massive content industry. Therefore, the author tried to propose a content evaluation model based on big data.In this study, the author first sorted out the changes in the content industry, proposed that the current mature big data industry provides a technical basis for the implementation of content evaluation models, and further proposed the basic principles that the content evaluation model should meet, and build on this basis A content evaluation model composed of three-dimensional data is adopted. Through flexible processing of three-dimensional data, different requirements for evaluation in various links of the content industry can be realized.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
5G1背景下基于大数据的视频内容智能评价体系构建
随着5G技术的发展,内容不再是封闭的、单一的。开放、共享、共建、多边合作已成为内容生产、传播、发行、交易的普遍现象。传统内容产业的生存法则已经显现。然而,原有的评价机制已经不能适应当前开放、海量的内容产业的需要。因此,笔者尝试提出一种基于大数据的内容评价模型。在本研究中,笔者首先梳理了内容产业的变化,提出目前成熟的大数据产业为内容评价模型的实施提供了技术基础,并进一步提出了内容评价模型应满足的基本原则,并在此基础上构建了采用三维数据构成的内容评价模型。通过对三维数据的灵活处理,可以实现内容产业各个环节对评价的不同要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Stability analysis of high slope based on MIDAS GTS digital simulation Research on Bridge Health Management Prediction System Based on deep learning Research on power technology and application architecture based on 5g message operation platform Algorithm modeling technology of computer aided fractal art pattern design Posture Estimation System for Excavator Manipulator Using Deep Learning and Inverse Kinematics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1