Paper Info
Title
Reducing bandwidth consumption in parallel networked telepresence environments
Abstract
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.
Year
DOI
Venue
2012
10.1145/2407516.2407576
VRCAI
Keywords
Field
DocType
remote site,different strategy,parallel networked telepresence environment,bandwidth consumption,large high-resolution displays,different node,image processing stage,dynamic data,local capture site,image processing pipeline,dynamic frustum selection,local transmission,virtual reality,teleconferencing
Teleconference,Virtual reality,Computer science,Image processing,Frustum,Real-time computing,Dynamic data,Artificial intelligence,Bandwidth optimization,Computer vision,Simulation,Bandwidth (signal processing),Data compression
Conference
Citations 
PageRank 
References 
3
0.41
10
Authors
3
Name
Order
Citations
PageRank
Malte Willert1151.79
Stephan Ohl2213.16
Oliver Staadt324318.97