The nature of statistical learning theory
The nature of statistical learning theory
The virtual cinematographer: a paradigm for automatic real-time camera control and directing
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Character-Based Interactive Storytelling
IEEE Intelligent Systems
Statistical Learning Theory and State of the Art in SVM
ICCI '03 Proceedings of the 2nd IEEE International Conference on Cognitive Informatics
Real-Time Cinematography for Games (Game Development Series)
Real-Time Cinematography for Games (Game Development Series)
Hierarchical document categorization with support vector machines
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Cinematic Game Secrets for Creative Directors and Producers: Inspired Techniques From Industry Legends
Declarative camera control for automatic cinematography
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Support vector machines for spam categorization
IEEE Transactions on Neural Networks
Draw your own story: paper and pencil interactive storytelling
ICEC'11 Proceedings of the 10th international conference on Entertainment Computing
MoViMash: online mobile video mashup
Proceedings of the 20th ACM international conference on Multimedia
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This paper proposes an intelligent cinematography director for plot-based storytelling systems. The role of the director is to select in real-time the camera shots that best fit for the scenes and present the content in an interesting and coherent manner. Director's knowledge is represented with a collection of support vector machines (SVM) trained to solve cinematography problems of shot selection. With this work we introduce the use of support vector machines, applied as an artificial intelligence method, in a storytelling director. This approach also can be extended and applied in games and other digital entertainment applications.