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An Integer Incremental AOI Algorithm for Progressive Downloading of Large Scale VRML Environments.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Kin-chuen Hui
Zhigeng Pan
Chung, Ronald Chi-kit
Wang, Charlie C. L.
Xiaogang Jin
Source :
Technologies for E-Learning & Digital Entertainment (9783540730101); 2007, p711-722, 12p
Publication Year :
2007

Abstract

Progressive data transmission is critical for implementing interactive walkthrough of large scale distributed virtual environments on Internet. This paper proposes an incremental AOI (Area of Interests) algorithm to determine dynamically which VRML objects should be downloaded while the viewpoint is moving in a VRML environment at each step. Our method has three major steps: (1) to divide the entire VRML ground uniformly into a rectangular mesh (m*n grids) along x-axis and y-axis respectively and store all the VRML objects overlapped by each grid into an adjacent list; (2) statically to determine all the grids overlapped by an AOI according to spatial coherence; (3) dynamically to determine newly visible and invisible grids overlapped by a moving AOI at each step, according to the temporal coherence between two consecutive AOI circles; (4) at each step, only newly overlapped VRML objects should be downloaded and rendered incrementally. Thus, the required VRML data downloads can be decreased dramatically at each moving step. Further, the proposed AOI algorithm is an integer incremental algorithm without multiplication, divisions and floating operations, and also it is suitable for hardware implementation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540730101
Database :
Supplemental Index
Journal :
Technologies for E-Learning & Digital Entertainment (9783540730101)
Publication Type :
Book
Accession number :
33257407
Full Text :
https://doi.org/10.1007/978-3-540-73011-8_68