A locally adaptive data compression scheme
Communications of the ACM
ACM Computing Surveys (CSUR)
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
An introduction to parallel rendering
Parallel Computing - Special issue on applications: parallel graphics and visualisation
Data Compression: The Complete Reference
Data Compression: The Complete Reference
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Visualization Systems on the Information-Technology-Based Laboratory
IEEE Computer Graphics and Applications
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
A holistic approach to high-performance computing: xgrid experience
SIGUCCS '04 Proceedings of the 32nd annual ACM SIGUCCS conference on User services
Visualization in Grid Computing Environments
VIS '04 Proceedings of the conference on Visualization '04
Interactive Virtual Reality on the Grid
DS-RT '04 Proceedings of the 8th IEEE International Symposium on Distributed Simulation and Real-Time Applications
A PC Cluster System for Simultaneous Interactive Volumetric Modeling and Visualization
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Simple universal lossy data compression schemes derived from the Lempel-Ziv algorithm
IEEE Transactions on Information Theory
On-line content-based image retrieval system using joint querying and relevance feedback scheme
WSEAS Transactions on Computers
High-fidelity rendering of animations on the grid: a case study
EG PGV'08 Proceedings of the 8th Eurographics conference on Parallel Graphics and Visualization
Time-constrained high-fidelity rendering on local desktop grids
EG PGV'09 Proceedings of the 9th Eurographics conference on Parallel Graphics and Visualization
A grid workflow Quality-of-Service estimation based on resource availability prediction
The Journal of Supercomputing
Hi-index | 0.00 |
Rendering computer animation frames is a very time consuming job. Using parallel computing on clusters and so-called render farms is a common solution to this problem. In this paper we describe how Grid computing can be used for computer animation rendering. We propose a framework for Grid rendering services, describe its implementation, and present the results and statistics. A loseless 3D compression algorithm was also devised to solve the existing problem of transferring gigabytes of scene representation files (Renderman (.rib) and mental images (.mi)). This compression algorithm has been filed for patent in Singapore.