Reducing Bandwidth Consumption in Parallel Networked Telepresence Environments


Systems for multi-camera telepresence utilizing Large High-Resolution Displays (LHRDs) face the problem of generating large amounts of dynamic data. These data have to be processed at the local capture site, aggregated from different nodes locally, possibly processed again, transmitted to a remote site, and processed further. Since resources are limited a solution to reduce the amount of data is essential to build such systems. In the early stages of an image processing pipeline traditional video compression is not an option as following image processing stages would have to decompress these images again. In this paper we present our approaches to bandwidth optimization in such setups with special focus on the local transmission occurring in distributed acquisition setups. We show different strategies and give an overview of where these are applicable. The results we achieved implementing Dynamic Frustum Selection in our prototype setup are presented and analyzed. We provide the reader with a guide for design decisions when implementing such or comparable systems.

Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry