Title
Support Vector Machines for Cinematography Real-Time Camera Control in Storytelling Environments
Abstract
This paper proposes an intelligent cinematography director for camera control in 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.
Year
DOI
Venue
2009
10.1109/SBGAMES.2009.14
SBGames
Keywords
Field
DocType
artificial intelligence,cinematography,films,support vector machine,kernel,knowledge representation,support vector machines,real time,svm,real time systems,artificial intelligent
Kernel (linear algebra),Computer vision,Digital entertainment,Knowledge representation and reasoning,Storytelling,Computer graphics (images),Computer science,Support vector machine,Artificial intelligence,Cinematography,Camera control
Conference
Citations 
PageRank 
References 
1
0.40
12
Authors
6