skip to main content
10.1145/1690388.1690422acmotherconferencesArticle/Chapter ViewAbstractPublication PagesesemConference Proceedingsconference-collections
research-article

Zuzen, a cloud-based framework for automated machinima generation

Published: 29 October 2009 Publication History

Abstract

The Zuzen framework is an intelligent tool set for assisting in the generation of machinima. With Zuzen, users that are novice cinematographers do not need to use complex movie-making tools. Rather, they only need to specify a set of high-level cinematic directives for use in filming a story and Zuzen will produce a video file that reflects their specifications. This forgoes the usual learning curve associated with typical machinima or cinematic content creation tools. This paper describes the Zuzen framework and details its implementation.

References

[1]
Allen, J. F., Maintaining knowledge about temporal intervals in Communications of the ACM 26:832--843, 1973.
[2]
Bares, W and Lester, J., Cinematographic User Models for Automated Realtime Camera Control in Dynamic 3D Environments in the Proceedings of the Sixth International Conference on User Modeling., 1997
[3]
Drucker S. and Zelter D., Intelligent Camera Control in a Virtual Environment in the Proceedings of Graphics Interface, 1994.
[4]
Jhala, A. and Young, R. M., Representational Requirements for a Plan Based Approach to Automated Camera Control in the Second Conference on Artificial Intelligence and Interactive Digital Entertainment, 2006.
[5]
Young, R. M., Story and discourse: A bipartite model of narrative generation in virtual worlds in Interaction Studies 8:177--208, 2006.
[6]
Elson D. K. and Riedl, M. O., A Lightweight Intelligent Virtual Cinematography System for Machinima Generation in the Proceedings of the 3rd Annual Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2007.
[7]
Jhala, A., Rawls, C. and Young, R. M., Longboard: A Sketch Based Intelligent Storyboarding Tool for Creating Machinima in the Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS), 2008.
[8]
Young, R. M., An Overview of the Mimesis Architecture: Integrating Intelligent Narrative Control into an Existing Gaming Environment in The Working Notes of the AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment, 2001.
[9]
Young, R. M. and D. Moore, J. D. DPOCL: A Principled Approach to Discourse Planning, in the Proceedings of the Seventh International Workshop on Text Generation, 1994.
[10]
Fikes, R. and Nilsson, N., STRIPS: a new approach to the application of theorem proving to problem solving in Artificial Intelligence 2:189--208, 1971.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ACE '09: Proceedings of the International Conference on Advances in Computer Entertainment Technology
October 2009
456 pages
ISBN:9781605588643
DOI:10.1145/1690388
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Foundation of the Hellenic World

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. artificial intelligence
  2. cinematic camera control
  3. machinima
  4. service-oriented architectures

Qualifiers

  • Research-article

Funding Sources

Conference

ACE '09
Sponsor:

Acceptance Rates

Overall Acceptance Rate 36 of 90 submissions, 40%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 106
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media