Hybrid visualisation of digital production big data

A. Evans, J. Agenjo, J. Blat
{"title":"Hybrid visualisation of digital production big data","authors":"A. Evans, J. Agenjo, J. Blat","doi":"10.1145/2775292.2775319","DOIUrl":null,"url":null,"abstract":"In this paper, we present a web application for the hybrid visualisation of digital production Big Data. In a typical film or television production, several terabytes of data can be recorded per day, such as film footage from multiple cameras or background information regarding the set. Interactive visualisation of this multimodal data, integrating 2D (image and video) and 3D graphics modes, would result in enhanced use. A browser-based context is capable of this integration in a seamless and powerful manner, but faces significant challenges related to data transfer and compression which must be overcome. This paper presents an application designed to harness the power of a hybrid web context while attempting to overcome or compensate for the difficulties of data transfer limitations and rendering power. Results are presented from three, publicly available test datasets, which represent a realistic sample of data recorded on a typical high-budget production set.","PeriodicalId":105857,"journal":{"name":"Proceedings of the 20th International Conference on 3D Web Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Conference on 3D Web Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2775292.2775319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this paper, we present a web application for the hybrid visualisation of digital production Big Data. In a typical film or television production, several terabytes of data can be recorded per day, such as film footage from multiple cameras or background information regarding the set. Interactive visualisation of this multimodal data, integrating 2D (image and video) and 3D graphics modes, would result in enhanced use. A browser-based context is capable of this integration in a seamless and powerful manner, but faces significant challenges related to data transfer and compression which must be overcome. This paper presents an application designed to harness the power of a hybrid web context while attempting to overcome or compensate for the difficulties of data transfer limitations and rendering power. Results are presented from three, publicly available test datasets, which represent a realistic sample of data recorded on a typical high-budget production set.
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
数字化生产大数据混合可视化
在本文中,我们提出了一个用于数字生产大数据混合可视化的web应用程序。在一部典型的电影或电视制作中,每天可以记录数tb的数据,例如来自多个摄像机的电影片段或有关布景的背景信息。这种多模态数据的交互式可视化,集成了2D(图像和视频)和3D图形模式,将会增强使用。基于浏览器的上下文能够以无缝和强大的方式进行这种集成,但面临着与数据传输和压缩相关的重大挑战,这些挑战必须克服。本文提出了一个应用程序,旨在利用混合web上下文的力量,同时试图克服或弥补数据传输限制和渲染能力的困难。结果来自三个公开可用的测试数据集,这些数据集代表了在典型高预算生产集上记录的真实数据样本。
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
Synchronized delivery of 3D scenes with audio and video webVis/instant3DHub: visual computing as a service infrastructure to deliver adaptive, secure and scalable user centric data visualisation A case study on 3D geospatial applications in the web using state-of-the-art WebGL frameworks Preparing and evaluating geospatial data models using X3D encodings for web 3D geovisualization services Hybrid visualisation of digital production big data
×
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:481959085
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