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Grid-based computer animation rendering
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Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia table of contents
Kuala Lumpur, Malaysia
SESSION: Efficient animation table of contents
Pages: 39 - 47  
Year of Publication: 2006
ISBN:1-59593-564-9
Authors
Anthony Chong  Nanyang Polytechnic, Singapore
Alexei Sourin  Nanyang Technological University, Singapore
Konstantin Levinski  Nanyang Technological University, Singapore
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Aeschlimann, M., Dindac, P., Kallivokas, L., L'Opez, J., Lowekamp, B. and O'Hallaron, D. 1999. Preliminary report on the design of a framework for distributed visualization. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1833--1839.
 
2
Apodaca, T. 1995. Using RenderMan in Animation Production. ACM SIGGRAPH 1995 Course 4, www.renderman.org/RMR/Publications/sig95.course04.pdf.
 
3
Apodaca, T., Gritz, L., Pharr, M., Hery, H., Bjorke, K. and Treweek, L. 2001. Advanced RenderMan 3:Render Harder. ACM SIGGRAPH 2001 Course 48, www.renderman.org/RMR/Publications/sig01.course48.pdf.gz.
 
4
Apple Computer, XGRID. http://www.apple.com/server/macosx/features/xgrid.html
 
5
Axceleon. http://www.axceleon.com
 
6
Axyz Animation. http://www.axyzfx.com
7
 
8
Bilbao-Castro, J. R., Marabini, R., Carazo, J. M., Garcia, I. and Fernandez. J. J. 2004. The Potential of Grid computing in three-dimensional electron microscopy. Parallel Processing Letters, World Scientific Publishing Company, 14, 2, 151--162.
 
9
 
10
 
11
Discreet. http://www.discreet.com
 
12
 
13
Globus Toolkit. http://www.globus.org/toolkit
 
14
Kalawsky, R. S. and Nee, S. P. 2004. Important issues concerning interactive user interfaces in grid based computational steering systems. In Proceedings of the UK e-Science All Hands Meeting. http://www.allhands.org.uk/2004/proceedings/papers/282.pdf
 
15
16
 
17
Mental Images. http://www.mentalimages.com
 
18
 
19
Nasrabadi, N. M. and King, R. A. 1988. Image coding using vector quantization: a review. IEEE Transactions on communications, 36, 8, 957--971.
 
20
Pixar. http://www.pixar.com
 
21
Pixie. http://sourceforge.net/projects/pixie/
22
 
23
Render-It. http://www.render-it.co.uk
 
24
Respower. http://www.respower.com
 
25
RFC2616. http://rfc.net/rfc2616.html
 
26
Richard V. 2002, Dragon Case Study: Animation Grids. PC Magazine. Article - 2002-10-01. http://www.pcmag.com/article2/0,1759,530154,00.asp
 
27
 
28
Sun N1 Grid Engine 6. http://www.sun.com/software/Gridware/index.xml
 
29
 
30
 
31
Uberware. http://www.uberware.net
 
32
United Devices. http://www.ud.com
33
 
34
Welch, T. A. 1984. A technique for high-performance data compression, IEEE Computer, 17, 6, 8--19.
 
35
Xiang, H., Gong, B., Meng, X. X. and Kong, X. L. 2004. The design of adaptive platform for visual-intensive applications over the Grid. In Proceedings of Grid and Cooperative Computing 2003, Lecture Notes in Computer Science, 172--175, Springer-Verlag.
 
36
Yang, E. H. and Kieffer, J. C. 1996. Simple universal lossy data compression schemes derived from the Lempel-Ziv algorithm, In Proceedings of IEEE Transactions on information Theory, 42, 1, 239--245.
 
37
Ziv, J. and Lempel, A. 1977. A universal algorithm for sequential data compression, In Proceedings of IEEE transactions on information theory, 23, 3, 337--343.
 
38
Zwicker, E. and Fastl, H. 1999. Psychoacoustics, Facts and Models. Springer Series in Information Sciences, 2nd edition.

Collaborative Colleagues:
Anthony Chong: colleagues
Alexei Sourin: colleagues
Konstantin Levinski: colleagues