Hybrid visualisation of digital production big data
Alun Evans, Javi Agenjo, Josep Blat · 2015
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.