Please use this identifier to cite or link to this item:
Title: Quantitative analysis of visibility determinations for networked virtual environments
Authors: Seo, B. 
Zimmermann, R. 
Keywords: Area-Of-Interest
Client-server object streaming
Interest management
Object popping problem
Virtual reality
Visibility determinations
Visible relevance
Visual acuity model
Issue Date: 2012
Citation: Seo, B., Zimmermann, R. (2012). Quantitative analysis of visibility determinations for networked virtual environments. Journal of Visual Communication and Image Representation 23 (5) : 705-718. ScholarBank@NUS Repository.
Abstract: The Area-Of-Interest (AOI) model is a simple and popular technique used in many applications to determine the region which needs to be considered and processed for each entity (e.g., user). One example application is object visibility determination around user-representing avatars in virtual environments or networked games. There exist a number of variations of the AOI model and in our prior work we have demonstrated how object-oriented visibility determination is more suitable for networked virtual environments than conventional user-oriented visibility determination. Here we extend our work to study a unified and comprehensive analytical model that reveals fundamental properties about the different visibility determination techniques under a variety of virtual environment settings. We also present what the best operational scenarios are for each different approach. Although our discussion and analytical results are focused on the visibility domain, the arguments and conclusions can be extended to various applications or services where spatial attributes are required. © 2012 Elsevier Inc. All rights reserved.
Source Title: Journal of Visual Communication and Image Representation
ISSN: 10473203
DOI: 10.1016/j.jvcir.2012.03.007
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on May 17, 2022


checked on May 17, 2022

Page view(s)

checked on May 12, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.