Coverage evaluation of camera networks for facilitating big-data management in film production

Film production inherently generates large amounts of data-at a rate of 27TB/hour for a conventional multicamera setup [1]. In this paper, we propose a video coverage monitoring framework for such setups, which enables the identification of problematic sensor configurations, and therefore significantly reduces the data volume by eliminating unusable material before it is generated. Our approach involves analysing the projection of a set of 3D volume elements on the cameras, to verify whether they satisfy a number of constraints predicting the success of specified tasks. We demonstrate the utility of the proposed framework on three use cases, and conclude that our approach facilitates the development of tools with considerable practical value.