Hybrid visualisation of digital production big data

A. Evans, J. Agenjo, J. Blat
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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.
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。
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